{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## A Pairs Percent of MA\n",
    "$1:4,2:8...,20:80$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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6+mdkWNdn7rYcLW9x/5++OMT2Y+V4PBp/8avq/XVWaZfeR4jOkuAuBOw6XglA\nbLi1S+cvnpjCxdNSe3JIQeWtBur2aGw0PgwVkF/Z4Gt/MKRJRdG88pZTOIUQQggRuo6W1jIsIQKb\npWcvSb1r4fxf12I2cd7kIb7rjEhr12fucsr0WgnjUqID9n+0K5/Ln93Avvwq3B7N17fvu//cJLN3\n4qSQ4C7IVh8o8m2b+3Dz8d7iMAqs2F0e/D8Sbz17FDsfOI9r548A4KlVh4MwOiGEEEJ0x/HyetIT\nInv8db3XDK1VywSICjN3eeautEZfDvLRnWfy0Z1n8NTVgRlUL6w7CsB9F0707Suubr2HrxA9RYK7\nIHt2TWNQIqFd63YdD6yKGWWzEBdp5XdLmy+QFkIIIUTfkFdex7CEiB5/XW+BOksLVTK9IrpRUKW0\nxk5suAWbxcSUtDhSmhTEe29HHgDjU2I4a1wyAIVVEtyJ3ifBXZANjmlML+zPzcm7639XBK61s1r0\nfyv/f7Os4hoKqxqanSu6559fZbH3RGWwhyGEEKKfqXe4Kalx9Epw99qN8/j9FdOIaWPJS1Q3CqqU\n1joCCsC01Cx9cmosQ+LC+fE5YwEorpFrFNH7JLgLsuPldYwymnHHhFuCPJrQ5jby56NsZs6b1Lxc\n8qInv2Teoys5UFB1sofWL5XW2HlmVSaPfLKfH//nm2APRwghRD9zvFyvLDmsF9IyU+MjuHJ2epvH\nRHShz53T7eGb3ArKah0BDdBbSv+8bcEYAF8QWFItlb1F75NoIshyy+s5f/IQLpuZxrKZacEeTkiz\nGy0Q/vSdGUSFNf7qzh2ZyOajZb7H23MqmDCkZ6tuDUTXPL+JAwXVAES0cEdSCCGE6I69J/SbseNS\nYoLy/lE2C3VON5qmdSh76qZXtrJiv97+IC7CyvT0eN9zg2PDMJsUs0cksGTKEH774T6mDYsDINlI\n2SyukbRM0fskuAui6gYnZbUO0hMjfHd3hO7S6al8sPNEwL4iI1fd2iR//j+3zGfkfZ/4HpfKh2e3\naZrmC+yEEEKI9jQ43ZiUoqLeQWy4lbWZJUxOjSU1vvWUy+3HyomymRk/JDjBXYTNjNujYXd5CG/n\nJuaGIyW+wA709lUR1sbZuqToMA4+tASL2YSmaSydkUaiMbMXbjUTE26RgiripJC0zCDabbRAmNTD\nvV36A/+qUw8ZRVOyS/WywxZT4K+t/902m8VEkXx4dltOaV3A46qGrq1JEEIIMTBMuH85Fz61lrmP\nrGTxk1+91bn/AAAgAElEQVRy86tb+dV7u9s8Z/uxcqanxwetWniUTQ/o6jtQVGX5nub9dJsGhBYj\nNVMp5QvsvGLDrby8IVtuQIteJ8FdEG3J1htgzkxPCPJIQtuIQfqaxIc/3g+ApYUvgb9dcwqPXT6V\n2SMSAlI0RdccLqoJeFxZ7+zR16+xu7j2hU28+nU2dQ4Xf1mRSW5ZXbvnCSGECD37jPRK73dHXoXe\ne7a6hRuDDpeHH//nG9ZmFrM/vzogtfFki7TpCWy1HSiqUuIXlF08bSgAhwprWju8Ge+/yZNfHOrM\nEIXoNEnLDKLXN+UwYUgMcZFda17e3/3onLFsyS5jcGxgeWFLC4uWL5iqf9B6G5073R6sbfS2EW3z\nzpJ6VdY7O7wmoSMufmot2aV1rM0s4UhRDa98ncOqg0XcdMZILpme2iPvIYQQ4uT4Oqu0xf0lLcxS\nPb8ui/d25PHBzhO4PRppbaRt9rbIMH3mrSPtEDYfLfdtP7xsCh/tyicuovOX0W313RM9R9M0nG4t\noIn9QCHBXZBsyymnqNrOVXOHB3soIetH54wDoKIusLpUWz1rvIuWy+scAW0mROd8lVkS8Njt0cgp\nrSPDqOzaHdUNTrL90j5f+ToHgJ25Fdz5xg4unDqUqnon9/x3FzmltXz/9JFMGxbH5NS4br+3EEKI\nnrellYyZvIp63B4tIO3y4135QGMF7KAGd7aOBXdfHSr2Bapf37eI+Egb/3f76Z0a+4hBkeSU1hEX\nMXBv6Dc43dz95g725Vfx1c8XdvmGscPlwaQab/bXOVzsPVGFx6PR4PIwcUgMcx9dCcBvL53M9adl\n9NSP0CdIcBck+/P1FIZlM2SWoj3xkTYumZ7Kh0aBlbbueg0yctxLayS46yq7y81Xh4p9j2eNSGBb\nTjkL/riG7Mcv6vbrrz/c8h1er0OF1aw/XMIX+/SF6/e9q6/Z+M0lk/j+6SO7/f5CCCF6jqZpbM4u\nY8KQmIBCXMMTIzlWVkdJjZ2U2HD25FXy5aFi8isbe73ZzCbOHJsUjGEDjWmZ1Q360oPNR8tIjQ9v\n1pphd55eIyE9MYKhcXpAN6OT6aQv3jCHxU9+SUrswLw2sbvcTPvt5zhcHgC2H6tgZno8pk6ut/R4\nNC59Zh0HCqq5bcFoFk4YzCMf7+eb3ArfMf4v+c624wMuuBt4c5UhYmduBfGRVjIGdX8mZCBIjWv8\nMPTeaWuJf3AnumZ/fuOX8+ZfLeb1m+b16OvvO1FJW5/leeX1vrUJ/n774T5q7FLYRQghQsmxsjrK\nah1cd2pGwP5Ryfr1TV5FPZqm8cTyA/zhs4OU1Tp8WTav/M/cFpdanCze64lrX9jMl4eKufIfX7Pg\nD2uaHZddoi9V+PCOM7r8XgmR+vWJ0+3p8mv0VScq6vn7mixfYAfwrb9t4NK/ruvU62zLKWPULz/x\n3UR4ds0Rvv33rwMCOwCPBncvHsuNZ4xkz4lKth8rb+nl+i0J7oKgsKqBt7cdJz0hstN3LAYq/3WJ\n3jttLRlkNAotrZVqVF315xX6Yu9Im5nBMeGEW83ctUhv1aFpWrdeW9M0th0rZ3RyNNefOsK3f83P\nFrD8R2cCUFbnILOwhgktlMb23l0VQggRGrwVqoclRPDoZVN9+8ckRwNw+bMb+NfGHNZmlnDl7GH8\n+qKJvPvD0zjw0BJOHT0oKGP28r+euPvNHQC4PBpOt4cv/TJYjhTXMG9kIvGRtmav0VHeNk4HCwdW\nm6HDRdUsfvJL/te4ttj263MYatyw35NX1eHriqKqBr73/Gbf479cNcP3b5oWH8EHd5zO0ccu9M0E\n/3DBaH587jhsZpMvFXigkOAuCLy/ZJ2d0h/IIv3KDUfIzF2v8Xg01hzUv9D2PHi+b3+48W9ud3X9\njmNlvZOrntvI+sOlzEiPZ+nMNN9zwxMjfWkw+05Use5wCWePT+bWs0cFvEZeefMZvfZ8k1vBvzbm\nsHxPPr98bzcNzvYXzgfT8j35lNXK768Qom/46+rDACRG2fjuvOGcNykFgEmpjW2enl1zBJvFxCOX\nTeWmM0eRnhjZbl+5k8E/E6iirvHm4fUvbub6FzezLUdfS5hVUsvowdHdei9vkbd/bzrWrdfpa1bs\nL6Le+N79y1UzGBQdxhs3z2fEIP07/0hxY8XRzMJqMu79mFtf24rHo+Fye3hvx3HyKur56ds7qXe6\n+fVFE/nwjjNYOiONzEcu5MijF7Lyp2czbVg8Sin+ce0sdtx/LuFWM9FhFqakxfHCuqOsPlDUZp/B\nijoHH+/Kb7EIUF8ja+6C4JhR8v03l0wK8kj6Dv+7axFtfCHERVgxm5TM3HVBdYOTo0bqyS8vnBAw\nq+wxFr5nFdcGfGF3xttbc9l0tIwrZg3jrsVjA4Isk0kRZTNjs5h4eUM2AOdPHsIpwxO4cMpQPtx5\ngufXHeU/W3KZnZHY4ffMKa1l2V/XB+y7ZFpq0O8Wt+bLQ8X84F/bATj08AUDssqXEKLv+GJfIWsO\nFpMWH8EYI/jxFkqJCmv83s6vbODscckhV8U6qpVMoA1H9LXhb27OZVhCJBV1TkZ1s6BYqP3sHVFU\n3UBsuLXTgfiW7DIirGYq6508/ukBgIA1+xlJUfztmllc+NRafv7OLtLiI/jJueP41Xt7APhsbyG7\n8yp5c0sub2xuDIbnj0rkpjMDb/qaTQqzqXF8kTYL/hOst5w1iltf28b3X96CzWziqatnsGTK0GZj\n/sG/trExSw/m+/r3rwR3J5mmaaw+WMSZY5OCmmfe1/jP1rX1P5zJpDcOlZmPztE0jakPfu57PKLJ\nWtBVB4oAeHbNYZ757imdeu2/rj5MRZ2DvIp60hMj+OO3pwNQ4LeoHvSmr/75+DOG6TPb09PjmZoW\nx/PrjpJVUttqS4byWgcRNnPAl9DZLaydOFpSG7LB3Vtbc33bNXYXiZaupwAJIURv2phVys2vbgXg\n0cun+j57Y8L1S8vYcCsLxyez2sgGOS0EP3fbygQCeHvbceIjrSgFC8YP7tZ7BatRe1dpmsbcR/SK\nk2vvWUh6oj7TVlxtJyna1mqly6KqBr7996/bff1JqbHERVjZcayCHccq+MjIapuTkcCW7HKWGjdm\nl85IJS0+gtzyeh7swqTI+ZOHcOXsYXy6p4DoMAuPf3qA6enx3P9/e7n5zJH8dc2RgCJyAK9syObm\ns0a18oqhr93oQikVrpTarJTaqZTaq5T6rbE/USn1hVIq0/g7we+c+5RSh5VSB5VS5/vtn6WU2m08\n95TqqaZZfcjWnHJySuu4ZJpUyewM75fF9+a33zpiUJSNEknL7JRNTcpYD44J7C34wCWTAZg5PIHO\neGfbcf7w2UH+ufYon+8tZNqwxlRkbznoC6YM8e27wa+ilf/Mocmk+M0lk9iWU97ieoX9+VXMfOgL\nFj/5JZV1TmrtLt7/Js/3/Os3zeOV/5mLUlBQ2fnUzpPFP+001NNHhRAD2wdGBWto/I4GePDSyfz6\noonMH5XIc9fN9u33puGFEv+bxcMTWx7fP9ce5aKpQ30zk91xtdH+qic+3w8XVfPgB3up7aVCY1kl\njf1uz/z9aq5+biPjfvUpcx5ZEfDf3kvTNGrtLr7/8paA/b+9dDIHH17S4nu8e9tppPj1Mo6ymXnp\n+3O5e/FY374/f2cG9yyZwNNXz/TVVeisxy6fxjcPnMdtC0aTXVrHqY+tYsX+Qr7z3MaAwO5PV07n\nscun8p256V16n1DRkZk7O7BI07QapZQVWKeU+hS4HFipadrjSql7gXuBXyilJgFXAZOBVGCFUmqc\npmlu4G/AzcAm4BNgCfBpj/9UIcLt0SittQeU5H961WGibGbOnzykjTNFU2eMSeLfN89j/sj27/wN\nirZR2g9ypk+mPUaZZ4CpaXGMSwksZuItbtLSF1JRVQOXPbuBV/5nDmMGB573s7d3+rZdHs03Gwf6\nHdMvfnyW724g6OkT3rTMprxrVPMrGpgwpDE1tMHp5oK/rAX0qmzTf/d5wHnPXTuL08foC6xTYsI5\n0WTGMBR8sjuf0loH3+RWoBRoWnCCu8c/PcBnewv4zSWTun2XWgjRv/mvHYsNbyx6Fh9p86XOWc2K\nS6ancrSkhoUTQvsz5bnrZnH//+1hS7ZeWfGtW0/lyn/oM1B3GEXFumvm8Hje2HyMoio7w7sY7FbW\nO3lqZSZ7T1SyMasMj6bxu6VTujymT3bn8/Sqw/xiyXjsLg+jkqIYmxLDthz93+HBSybx4If7AhrV\nf7Qrn0umpZJVUusLep9ZdZgnv9CLplw2M41HL5uKw+1ps6/f6ORoNt63GICCqgbCLPo6uR+fO47b\nF47B00qmTmd5Z02/M2c497+/F4CYMAvVRmD8zQPnsuZgMRdNG9on02ebaje40/QyNt7VjlbjjwYs\nBRYY+18B1gC/MPa/qWmaHTiqlDoMzFVKZQOxmqZtBFBKvQoso58GdwWVDdz1xg6+OV7BzgfOI8Jm\nxuHysDGrlGvnjwio/ijaZzGbOG10x3rhDIoKY1d5RfsHCp/csjpiwizsevC8Fj9Iw61mwq0mKuub\nV6u88Kl1lNTYeXlDNg8vm9rkPBMNzsZUy+lNigiNbRJEJseEMSo5ip+cO67Z+3jLSJcbTe1zy+rI\nLKpudy3A1GGNzc9jIyy8s+043zplWMikZmqaxm2vb/d7rP+dW17PqOTu3ynuqJ++tZP/bj8OwA0v\nbeHAQ0tCouCBECK07DtRhd0VePMpNrz1y8mnrpoB0CMX6b1pwpBY3v7BaWTc+zEAc0fq67tNioAb\nit3hzYrZdLS0U8Gdx6Px+b4CzpmYwt/WHOGFdUd9z736dQ73LJlAdFjnV1rtyavkF+/sotru4oaX\n9Bk3pSDz4Qu4551dAFx3agZnjUvmQEE19Q436w+X8O6OPM7/81dkFtXwwvWz2XW8kr+szPS97o/O\nGUuEzUwE7X+HeH8vvP0DvXpjzZvNYuLV/5nL8+uO8vfvncJXh4pJjgkjPtLGMr8ib31dh34TlFJm\nYBswBvirpmmblFIpmqZ5a4sWACnGdhqw0e/048Y+p7HddH+/szO3gv95eQulxrqvOoeLCJuZ/flV\nOFweZo/oXGqb6JzEKJtUy+ykY2V1pCdGtvnlmxQdRkm1nU925zM9PZ60+AiKq+2+ylKmJucWV9tp\ncHq4Zt5wXjfu8E5Ja/sL0mo2seqnC1p+f+NL8SdGEOJ06Y1zvS6ZnkpuWZ2v38309Hh25laQ4jdz\n7g1Of/neblb/rOX3OZk8Ho1FT64J2Hf/xZN46KN9XP/i5h5pGu+vvNbBL9/bzbKZab7sgdIaOzll\ndb7AzuvjXfl8a9awHn1/IUTfd+FTa5vti21jdibUg7q2fHDH6c2Cju4YlaTfsPv5O7t45JP9fPPA\neR0678NdJ7j7zW8AvfF7UyXVdrKKa/jXxhzuv3gSMeHtTyDYXW4uflrvMzd/VKKvmIim4VsnCfqy\niFHJ0b6bjcMHRfLujjwyi/R5nxtf0dddXn5KGg8tnUJueV2zdfuh5KxxyZw1LhmgxcIq/UGHwmJN\n09yaps0AhqHPwk1p8ryGPpvXI5RStyiltiqlthYXF7d/QhC5PRq3vLqVDUdKfPteXH+UeqebG88Y\nCejpaEVVDTz88T6g8+uWROckRduotrua3VkULausc7L6YDG1jrbz9gfHhPHFvkJue307pz++CtAr\npXkt31MQ0K/mnnf0lMzvzGnMXW+rR2F7/O9Krj9cyubsMl8/G4Dff2sa/3f76b7S1s9cPZPsxy8K\nWLs3JVWfxTtaUsuJFhqln2xPLD9Admmd7/E5E1OYkR7Xxhnd88aWY3y6p8AXbD/80T5mPbyCy5/d\nwLCECHbcfy73X6wvWF95oLCtlxJCDECtpYuH9eHKgk2984NT+deN8wCYNize13C9J/jP1lXUOVvM\nhmnJjmON2Uj+qY7PG2san1qZyaXPrOetrcd96ZTtWX+48br1kumpbPnVOcQbWWXeQjlPfGtqs/Pm\nZCTyu6WTeeH62SRF6xk1N50xkie/PZ2oMEuPzXKKruvU/42aplUAq9HXyhUqpYYCGH8XGYflAf4r\nEYcZ+/KM7ab7W3qf5zRNm61p2uzk5OTODPGkyyqu4fN9hXz3n5vYbBSlKK9zMjYlhvHGOqWqeidz\nH13py+MeEhfe6uuJ7kuM0j+If/fhvn7Rr6S3vbtDn7FJiW379zI5JsyXnw5Qa3dx//t7fI+Lqu0c\n9ysIsjuvkrgIqy+g6m4ZadDvovq7Zt4Idj14Hu/edpqv6tkHd5zOQ0snB6zl83po2RSWztCLGa08\nUNTs+ZPtH19lAfos4x+/PZ1HL5vCKcMTWDxhMFazatbc1en24HJ3rtegw+VhT14lDpeHFUYw/tWh\nYj7fW8Dzfqk9z3z3FBKibNx4xkiunT+CVQeK+Ca3gippHC+EMBwsCCxo9fCyKdy9eGyfnp1ranZG\nImeM7dgykO76y4rMZp/zdpeboqrAteFbcwKLnn358wWs+8VC33XmuzsaL6erGwJv1OaW1fHUyky2\nZAe+xvvfnCDKZmbjfYu5Zt4IkmPC+PLnC33P//eHp/GdOS0Xsbvu1AwWT0zhwzvP4KmrZ/Lriyf1\nq9+Bvq4j1TKTlVLxxnYEcC5wAPgAuN447HrgfWP7A+AqpVSYUmokMBbYbKRwViml5htVMq/zO6fP\n2nOisRDF91/aDEBlnYP4CCtWs/6L/p8tuS2eK3rHIONO0uubjnHjy1vIKdUrPt30yhbeNPqlfLGv\nkC8PFfv68QxUFXUO/vTFIZKiw3jtxrltHtu0StWJinrfv99z184CoNgIpvVGoA5uOmMkJpNi3+/O\n55O7z+z2eKcNi/cVd0mItHL6mEHEhls5xW82fMzgGK49NaPF81PjI3jy29NRijabmZ4sMWEWRiVH\n8e4PT+OKWcMYHBuOUorZGYk43Rr1Trevx2C9w838R1dyz393cbiopp1X1lXUORj360+5+Ol1XP/i\nZrb73f295bVtAcdOTWucMbxg6hAanB6W/XU9T/utoxBCDGwHCqp822MHR3PNvOH8uIU10qJ1C8Y3\nTlq8uP4o+U2KfI3/9XLmPrqSyjonNXYX9Q43R4trA6qFx0faGJYQSXpipG92zRtb+c8GelP///TF\nIa755yZq7C4KKhtYub+QD3ae4OJpqQETDnERVj770Vl8dOcZzOrAEqKhcRFcOl2qv4eajuRIDQVe\nMdbdmYC3NE37SCn1NfCWUupGIAe4EkDTtL1KqbeAfYALuN2olAlwG/AyEIFeSKXPF1PZd6Lxg25o\nvJ6XXVHvJCMpCotJj5391wW9cP1sRO/ypgkA7Dxeydl/WEP24xexYn8RK/YXce6kFF/KwR+umMa3\nZ/ftkrddpWkaN7y0heoGF7+/ZhphlrYXPm/0q5QF+PLtL5uZ5luTUFJtp87h4vZ/6wVCRhizdd1J\nx2zq47v0INHt0bq04NpiNpGeEMmXh4pbLNxysmiaRp3TzYVThjbrf+RNuZn0wGeYFBx59ELe2X6c\n0loH727P493teXzzwLnER7bdB+/vX2b5tr2Vzh69bCq/fG83oJcvX/mTs6modwaMYbpfVdN/rj1K\nblk9j1w2hbgIq/TnFGIAy/FLI//XTfP6xWzN1/ctCuix2tuWzkhljd+aNv9UV//ALLu0lqV/Xc85\nEwdT63AzMimad35wKrnldQGv9505w/nOnOE43R4m/+Yzcssany+useN06zcIHW4PU37zme85q1m1\nGJh7ZwNF39WRapm7gJkt7C8FFrdyziPAIy3s3wp0vV5rCNrrF9wlGhdalfVO4iKs2I0Pi13HKxkz\nOJpP7jqzT3e87yv8W094+X94LvBrbJ1bHvx1V8FyoKCab3IrOHXUIM7rQGuOMcnRZBU39r15YvkB\nAK47dQRJMfrv/ppDxb6UkPMmpbC4F0pfe4OQ7jSEXTg+mVe+zuGGlzbzwvVzgtJctqjajtuj+Waa\n/UXYGj8nPBpM+c1n1DoC17pszS4nPTGSGruTWSMSW3yP3XmBVWOfvnomF04dysShMXyyO597lkzA\najYxuElKblSYhWvnj+C1jTkALN9bwPK9BcwcHs97twWmxgohBg7/NO2kLvYcCzU9WTClIy6amorN\nbPbdBHX4pdpf6df8+5GP9wOwYr++hCBjUCSzMxKZndHy573VbGLi0Fh2Hq9gY1Ypk1JjfUtT/nTl\ndH7y1s6A4+eOTJRlQv1Uz91OH2C2ZpfhdGtsONI4m9Hg0lOoKuudxEdYcfr9D5saHyGB3UnS0lor\n/7V3/uvGjvo16RxIau0uX3rNby6d1KHg5rdLJ/O5XwGVnNI6vnXKMGYOT/Dd9fz3pmNkFdcwYlAk\n/7h2Vsje1b3xjFG88nUOaw4Ws/N4RUBa58niXf/QUoGlpsvq/AO7BeOTWXOwmPVHSnjp1WxAXwx/\n61mjmOKXWul0e9hxrILrTh3BiYoGxgyO5hIjfWbm8IR2Czs9tGwKU9PiuOe/u3z7dhyroNbuIqqV\nktuapn/+RYVZ2HGsgilpsT06ayuECK4647No+rC4oNwU6w9sFhMXTRtKuHU2N76yFbvRLkjTNA4W\nNq5p9M/6mjAkhjPHtl+DYlpaHK9tzOGq5zYG7E+ItDE+JYaDhdXctWgMr286xq8unNRDP5EINfKt\n2wWapnGF392VX144gW9yKzhQUE12aS2aBmkJEdT7XZC1VLpW9J7zJ6fw2d7GQKSwqvn6qhGDIvlw\n5wme/Pb0ARV4ezwak/1SM0Z2sNBJfETzGaZRyfq5NouJheOTWX2wmI1ZZfz03HEhG9iBXrHs7sVj\n+cvKTN+atpNty9EyIqxmJqc2ryy2dEYqFXUO/rMll4p6Z8D6wJe/P5drnt/IS+uzffs+3HmCjVml\nbPnVOXg8Gm9sOUZNg4s6h5vTxyT52h501pVz0rlyTjrbcsrILKzh3nd3sz+/qtU7x39ekRnQ6+jM\nsUm8ZlSdE0L0fXV2N+NTYnj/jjOCPZQ+z3vd4Z258wbO80Ymssko0GezmHC4PFx+SlqHrlMuOyWN\nNYeKyC0LzEpKS4jgsW9N5e2tx7lz8Vh+ct74nvxRRIiR4K4L6pqkR7k9+nR4VnGtbyZv5vAEVvlV\n44tpo8Gn6HlLZ6QFBHeHCgMrfP1iyQRfWuHK/YVcMLV/9jppKqe0lutf3Bywr721dl7hVv2LZVRS\nFFnGjKe37QDArWeP9vXG6Qv90c4al8RfVmY2S3c8WbZkl3PKiHisLdz4sZpN3HTmKG46cxT1DjcO\nt4ftOeW+iqbnTkxh/WH9s+aG0zJ4eUM2diP1+PN9hfzqvcYqpnNaCcQ6Y9aIRIYl6DPiO45VtBjc\nuT1aQGAHsDazhG05Za2mjQoh+pZqu9NXmVh0j/e7d/PRMh77ZD8PXjoZaOzpCvDducMpr3O0WrWy\nqVOGJ7D2nkWsPlDEmoNFzBmZyKwRCb7U02BkqYiTTyKOLqixB5aZjbCafLMf//vFIcwmxZjkaMIs\nJp78/CA/O2/8gC3aESwXNgnWvP3YYsIsVNtdvrTBW1/bxubssgET3H2480SzvmodpZTijZvnMzYl\nmtkPrwACgzv/Ihyp8Sd3DUNXeNMF6+xt9/frDVUNTvYXVHHXorHtHhthMxOBmYV+6xdn+H1B/+qi\nidQ73Pxnay4zfvc5SdFhZAyK5JyJKRRUNZAQ2X4z245IiQ1n7OBoXt6QTUW9g7JaBzPTE3wze9/6\nm57N8LPzxvHHzw/5zntpfbYEd0L0E3tPVHFuJ743ROu8M3F/+OwgAJc+sx6AML8bfrMzErh4Wuer\nUS6cMDjgO0MMLBLcdZLD5Qm4Kz4lLZZr5o9g+Z4CAEprHZgUmEyKEYOiyHzkwmANdcC7e/FYCqsa\n+M/WXFYdKCI23MKgaL1XW2y4lTPGJjEoysZL67NZNiON6enx7b9oH+cN7K6ak87eE1X8w2hh0FGn\njh4E6LN4DU4PEX7rqSJsZp67dhYJUW1XcAwV3tn0vSeqmJwaF9Bctrd9tDMfTYPTjH/PzkpP0IPn\ncyYOxmo2sXjiYP6zNZeKOicVdU5+c8kkvn/6yJ4cMqDfNPnLykz+uvoIAG9szuWBD/ZwwZTGmyO3\nnj2atIQIZo9I5Af/2sZHu/JZPPE4y2akhXSqrhCibS63h4o6p28WX3RPRpPvnBtOy2DX8QqumD3M\n17cuStYsiy6Q35pOspoVK/Y3pvvdsXAsVrOJaL8CAw8vmxqMoYkmvCV+DxZWs+NYBVUNLl9am7ca\nYWmtA9CLW/Tn4K66wUmE1cyqA0UsHJ/M49+a1q3X8/ZcbTor1JGqm6HCW1X1mdWHeWb1YbIfv6jb\nr+l0e3j16xy+O3c4ETYzb24+xovrj7Jw/GCunjucjKQo6h1u/rziELNHJDB3ZNdmtAZFh/HBHacz\nYYi+Xq/p7+78UV0LGtuzbGZas9TLBqeHrTllpMSG8YcrpmM1m7hspp6WG2HVZ3Z//J+dfLwrn+ev\nn9Mr4xJC9L49RnXwuAi5dOwJ/q1sUuPCfWmZoLd0KqlxMDi2f1QkFSfXwKki0UOa3nn2lpGN9ltT\nd/qY3rmwEl1TZgRwAD86Rw/40o07j97mn5Z+WvVr9/FKFvxhNVMf/Jw3tuRSVuvgilndTxH2Fgia\nOLR5MZC+wmYxBayF/d2H+8i49+Nm6zPbomkav3pvNxn3fswpD33B7IdX8NBH+/j9ZwfYfqyce9/d\nzaHCGv7xVRZPrzoMwEsbjlJUbecXF0zo1kzWtGHxvrSelNhwxqc09ibqaJGczhqZFMWXP1/AP6+b\nzeqfLeCymWkA5JbVM3/UIM4aF1jN7Z4lE3w9+1bsL6KoqqHZawoh+oYH3tezlvpC2n1f4x/YAfzh\niukMT4xkVFJ0kEYk+jIJ7rrh7sVjmWaUHvdv+pgSK31DQskC44Lz79+bxUXThnL0sQt9fb2WztAv\nTi3WA2QAACAASURBVINVVKM31dhdXPLMOl8q5mOf7MdmMXH2+PbLKbfnxe/P4f6LJ/X5Pkcf+FV8\ne3H9UQCW/PmrDp//9tbjvL7pGKDfRPA2oH1pfTaXP7sh4Ni8ijqqGpz8fvlBTh8zqEcKnfh77/bT\n+PCOM1j+ozMJt/ZewYMRg6I4d1IKI5Oi+N3SxguSES20IJk7MpGdvzmPh4zjTlQ2sOFISdAqlAoh\nuu54eT2zRyR0aq22aFt8pJWJQ2ObZb0snDCYr+5ZKMVrRJfI3HoX/P17pxAdpq/Z8ooNb0xP680L\nK9F59104ke/OG+ELwP1nS8IsJkyKgLYV/cXP3w5sWFrncDM0Ljwghbir5mQk9nhwEgwjk6K4a9EY\nnjJm1UBvGl5e6+jQ2sHP9hY025cYZQuYLc585AIeeH8vb2w+xqI/rgFgeAuBUHdF2ixMHRbX/oE9\nKCbcypyMBLZkl7dZlGhGul4A5snPD7I2s4S7F4/l0z35/Oy88X0qlVeIgaqy3klZrYMfnD0KUz/N\ndAmG7b8+N9hDEP2QzNx1wZIpQwMCO683bp7P77u5lkn0vHCrOWBm1Z9SivhIG2V1jhaf76s0TeNT\no8iPUnR5bddAcPW8xhLT3nTGJ5Yf4IwnVrEnr5Jrnt/IL97Z1ey8oyW1rDTanfznlvm+/St+cjag\n91Fc94uFWM0m5hn//iU1DqLDLHx37ohe+3lOtn/dNI///vDUNlN0vf0Q12aWAPCXlZkcKqzhlte2\n0eDsfzdWhOhvjhrtb0ZKmmCPMpmUBMuix8nMXQ86dfQgXzVB0XekxUeQV17f/oEhrrjazl1v7OCe\nJeNx+6W9/e2aUzhrXDKrDhQxJfXkzuz0Bd7CKgA/O288t/97O29uyQXg4qfXGc+UctXcdGb6tSDw\nrj/57rzhzBs1iG+dMow9eZUkRtn4+r5FJEeHYTHWJi6dkUqEzUxMuIXTRje/MdSXhVnM7bY6iAqz\nEB1madZGBvTZvF9dNKm3hieE6AFHS2qA3lvPK4ToOTJzJwa8tPgIjpfXsSevktc35QR7OF2SVVzD\nnEdW8HVWKY99coAv9hViNSv2/PZ8lkwZSqTNwsXTUsmQL+ZmzCbFQ0sns3jCYM6ZNJifGFVWm/qp\nX5prRZ2DTVll3HBaBo9ephflefLK6Xz247MAGBoX4QvsQJ8hPn/ykH4X2HWGNx34nImNvZcGRdn4\n7/Y89hlV+IqqGnzrFlvicHm449/bOfWxlZzxxCre2HysdwcthADgUGENJtU7KeVCiJ4lwZ0Y8IYl\nRJBXUc/FT68L6GHYl3hTMAGSY8JYm1nCKcMTemR93UBw7akZvHDDHMIsZu5cNIaMQZFE2sxcOFVf\nD3br2aM4XqbP7m4+WsbbW4/jcHs4e1z3i9MMFA8tm8KyGak8vGwqNouJBeOTufmsUZTVOrjwqbV8\nsjufuY+uZKGxLrEln+zO56Nd+eRXNnC8vJ6X12eftPELMRC9tjGHbTllLN9TwNyRib4KvUKI0CVX\nfmLAS0uIoMHp8T22u9yEWfpWUZy1mcW+7Y935wPws/NanoESbVNK8c4PT8Pl1kiIsvLwMjdvbD6G\nw+1h1/EKrvzH175j0xOlJHhHnTsphXMn6VX2dj94HhaTidJaO49/egCA217fDgS2LvG34UgJP/rP\nNwH7XB5Pi8d2VYPTzVeHilk8MYXCqgaGxIa3ux7G5fbg8mhSSEv0O3tPVHL//zXe8LzpzJFBHI0Q\noqMkuBMDXtOqj9UNLsKi+8aFmtPt4b/bjrMxq4xbzhrFvhNVrDusF61YNEHKVXeVf4uHMIuZKKMc\n9Yp9hQHHZQySNNeu8N48GRwTzn0XTKCkxs4/1x5tdlxWcQ33vbuby09JY3++3n/wzkVjOGdiCn80\nKm9W1jt9vfS64/1v8rj7zcDg8bHLp3L13OGtnKFX2b3s2fUcKKjm91dM48rZ3e8hGUryK+v5x5dZ\nLJowmKlpcR2qICv6h6LqBh54f2/AvunD4oM0GiFEZ8j8uhjwpqQFFhn5zft7cbh6dkagt/z87Z3c\n++5uACYNjeXJK6f7nkuNl36LPSXWCB78WyacOTYpYF2d6Jpbzx7Nry6axJc/X+Dbd8urWwH484pM\nNh0t4xf/3c2Xh4qZm5HIT88bz/T0eK6aM9x37B8/O0huWV2Xx6Bpmm8G0d997+7mQEFVs/25ZXW8\nuO4oC/64mgMFetD56Cf7u/z+oehAQRWnPraKlzdkc92Lm5n5/+ydd3jd1PnHv8e+HrEdO8PO3iGD\nbMggQAh7hZQNhbasFmjLLvwou7QUKLSFQqFAGS2jlFE2hQaSAGEFMkhCEpKQkEF24gzHseOt3x/n\nvta5sqSrKx3dYb+f5/EjWVdX0pWOzjnveb/nfX8/HU98vDrVl8UkgeVb9mDCXTMxf90u9C8txOyb\njsJjPzkQw3s4R8RlGCZ94J4JwwB4+EcHNK+/s3gzjr7/o9RdTJTnZq/Fn99b4fj5+p3VeGPhpub/\nS4vy0LU4H/t3L0ZhbnZM7kUmGGoqjcLcbDzy4wNx/9ljUnhFrY++nQux6PbjAADvf7MVFfvqsafG\nDK6yprwKRww15zgePLAzhnRtjy/X7MTDH67CYX/80Pe5l2+pxOaKGlx//BAcNbRLzGc/e3pei/2P\nvn8W7vjvN9i6pxZnj+uF8f06Ynd1Pa58YQGWbKzAgzNW4qoXFsAwMjdZ+2tfbQQAnDC8Gx48R5b1\nu1qZAcsAG3ZV47dvLcVv31ranO5g5jKZ4iUvkoV7zxiF7iXtcMKI7jE5YhmGSV9YlskwAHp1jI0A\ntn7nPjQ2GchOYf6Z26KSmP87fkiLz2rqG1t0ZrsWSynhm5cfisqaes6do5HBXU3j7jc/GIYpLgm7\nGf+UtMvB1UcPwoMzV+Lm1xbjoxXbYz5XU3l0KszFf6+ahKG3TWtO/ZHofNl5a3fiF/+aj/K9cp7f\nmWN74WeT+mP6N1vx61e+xr76RmzcvQ8PzliJq48ZhMYmA9e/sqjZs3/m2F74/akjUFPXhNF3vI+3\nF23C24vMAZcpI7vhhBGZV1YMw8A7X2/GAX064LHzxgIArnt5ERqaDEx58BMM7lqEX58wFD068JzT\nTKWyph73vf8tnp29FpQ55+nP1+Lnhw/Ass2VGNK1fXP0X4ZhMgv23DEMgN4dW3ZS7ORYyaJ8b63r\n579725wLccaBvQCgOc1BbiQLnZU5Y0xwcrKzMOv6I3D98UNwwvDM66xnElcdPQhnj+uFj1ZI78Fx\nw8y5oxP6x86PzcnOwnd3T2n+f8it01xTKWzbU4O1Ue/EH/63DGc+NrvZsPvN1GHoWpyP/Jxs/GB0\nD8y55Wi8H+3c/mXGt1hbXoVlm/c0e7QunTwAfz5rNPIi2SgpyMH1NoMws74tx8bd+/Dt1krbHH/p\nxuzvduC2N5Zgwt0zsXH3Ppw73pxv+NuThwMAvtm8B28s3IRD7vkAjU0GPv52O379yqLmdBZeMAwD\nL839Ht/v8C+lZRJj1ba9uPHVr9HvxnfQ78Z3MPK37+Ppz9fiRwf1wazrj8DpB/YEAPx91mp8/O12\nDFbUCgzDZBbsuWMYSC8AAJx+YE8cOaQLrnxhAeav24XhUU9Bxb56vDp/A350UJ+kRMVbqnSUznj0\nczxx/rjmazQMAy/MkUm27z1jJM4c2xt3nDIcOTz/K1T6di7E5Uful+rLaPVkZwn88czRuOu0kfhu\n+1707VSI/X8zDWN6d3B89+49YyT++dlaLN9SiYc/WNkiKXpDYxMqaxow4e6ZAOR8yU9WysBD+3cv\nxr9+NqHFgEj7/By0z8/Bcz+bgPOemoOnP1+Lpz9fCwA4aVR3XH5EbFm47IiBmDigEzbtrsHmin34\nZGU5XpjzfXMuvgn9O+GlSyempbTNMAxU1TXi3Ce+iNl+pCJR3a9LUYvv3fDq13hv6RZU1jTgjYWb\n8O2dJ8Y91+Mff4e73zXnN77/q8kxnnEmHB6b9R1emb8hZtvIniW481SZp/P+s8fgiCFdcNULCwAA\nfTgSMMNkLNwbZBjI8PfL7jgBfzpzNKaO6o4u7fPw15krmz9/a9Em3PHfb/DAjJUuR9HH7O92NK/P\nX7cL89ftav7/q+93N68P616C7CyBQs5nx7QycrKzMLRbMdrlZmPuLcfgXxcf5LjvD8f3wbRrJuOs\nsb3wj8/WosriJbvyhQU44PfTm/8nww4AzpvY19XTPbBMGjVk2BXkZuPhcw9ASUHsnFYhBMb27YQf\njO6BSycPxI0nDo35fM6andiwa5/7j04Bn39XjpMf/gwjbn8vZnvfzgUoa2/el4kDOuPnhw+I2eeV\n+RtQWSPvdV1DU9w5hu8v3RJj2AHAXe/wPL6wMQzpYT1m/6646ihzUGLqqFgVwsmjezR78EZaAo0x\nDJM5cI+QYaK0yzW9At1K8vH1hgoYhgEhBL6IGlsvzf0e1x47OPREro/N+i7m/yal0/Th8m2IZAl8\nesNR6FbCETGZ1o9qZLhx9P5d8J/5G7Bq216M7m2Gbf/fki3N678+YQja5WTjd29/g5nXHY4Bpe7p\nLLoo537p0onoWpzvyfs2vEcJnvvZBOzZ14BuJXk449HZmLFsKy44uB8ApMWc2Jr6xhbpH246cSjO\nj16jlZtO3B+XHbEfrv/PIozt2xF/iEYYHd6jGEs37cGC9btxYJ+OAICHP1iJ+kYD1xwzCLuq63Gg\nYlyffkBPXHr4ANz+5lLMWbNTy/zmhsYmHPHnjzC6dwc8dM4BMfd3w65qrNy6F4fs1xm52VmOz2/V\ntkr86qVFOHZYV1x8WH8U5GZuF6m+sQl/nLYcizdW4DdTh2NbZS0OG1SKCw7ph2uPG4JNu/ehW3HL\n9uP+s8fg5in7ozOnvWCYjCVzay6GCZGTRnbH1xsqUFXXiPxIVnNi8F3V9fjv15twenSeWxhU1rSc\nMzR/3S68NHc9/nzWaHy9sQI9OrRjw45hLAyKyvtO+dtneOTHB+LEEd0ghED7/Eizh+n8g/uhKC+C\niw71lpA5kp2FP505CqN6dYiJmuqFwwbJ6J6GYWDSfqX43dvf4HdvfwMAmHHt4bZSx2Ry8TPzsL2y\nFs/+dAKqahvwwtz1uHTyAFfjtaRdDh4/fxwMw0C3knzc/e4y/GRiX5mP8JHPAciE9dOjOSH7di7A\nu9H6k7j/hzL65plje+HLNTuxbkcVBpQFuxczlm3Fhl37sGHXPnyzaQ9OGtkd/3f8EHy3fS+Ovm9W\n834P/HAMTj2gZ8x3F2+oQGVNPX705Jfy/40VaJ/vvYykC41NBq5+cQE+XL4NVXWNzdun/PUTAMC4\nfh2bt7kFwynlOdsMk9GwcccwNtD8tq17alCkSB4HdSnC4x+vxmkH9Axt7gx1hH538nDc/pYMnPJ4\nNL/Ua19twKL1u3G0JVw7wzBA305m1NvLnv8KADCiZ3GzYQegOSF9IpwVMDm5EAJ/OH1kTITbY+6f\nhd+fMhy9OhbEzG2rqW9MyrxeAPh0lZSnThzQGbmRLJyYQBRYIQROGdMTp4yRhtLBAzrjqU/X4Lkv\n1jUbdgBw7cuLAAA/HNcbO6pqceZYc2DsgKiX761Fm3DNMYMD/Za5a3chSwBNhkyb8fCHq9C1OK85\n6jDx7y+/jzHunvtiHW57Y0nz/yN6FmPZ5kr87cPv8OOD+oau0tCFYRgYePO7MdtG9ixBWfs8fLB8\nGw4e0Ll5DjnDMK2bzKi1GCbJHNhXdjr+9cU6bKmoAQDcNnUYLjlsAJZvqcRnq3a4fT0Qs77djp4d\n2uH8g/vGRAIEgDvfWYaKffXNkTEZhjGJZGfh5ilDcawSYXPJRhmc6L1rJmPOzUenLKBJ704FePy8\nsfjnReObt9325lJc9PRcbNglo0Y+/MFKjLj9PSzZWBHqtXywfCsO/5M0NC86tJ8WA6ZfaSF+f+oI\nfHvniRjTuwOsKsvLj9wPT14wPiY1xH5dinD88K54YMZKXPzMvOY8a36Yt24XxvXrhOOGdcWInjLZ\n9m1vLkUkSyAvkoXDBpUCABZu2I1rX1qIB2esxI69tc2pKwpys3HlUfvh5Z8fjAd+OAble2vx8rz1\nvq8n2VBuOkAOQv77koPw8s8Pxt/PG4ufTx6A+84encKrYxgmmbDnjmFsoHk4//xsbbNcaEK/Thjc\nrQi3vrEEn6zcjknRzoJudlXVo0cHOa8nWwBHD+2Cmcu3xezTp1OBw7cZpm1z6eSBuHQy8O3WSry5\ncCP++dlaVNc1YnDXopRHqjxueDcAwFtXHIqLn5mHbZUy5cmkez/EyaN74K2ooTH1oU8x95ZjUFqU\nK4M9bd6D37y5BPt1KcLdp42M+R27q+tQsa8ej3+8GqN7d8BZY3uhtqHJ0fu3Y28tLn12Phqiyc1O\n0pyzMTeShdd+eQgMyLyD5FHr09m+zrr++CF4b+lWzFi2FSXtcnwZId9t34tF63fjl0cMxA0nDEV1\nXQOm/vVTTBzYGbf/YFhz7sNnZ6/Fb95citcWyHQWn60qx5y1O3HxpP64daoZYXXqqO54/OPV+NN7\nK3DWuF6ecicu3lCBHzz8KS45rH+LaK0qhmHggRkrsbu6DtceO6RFYB6/vLN4M9rlZGPh7ce2uN6b\npuyv5RwMw2QGbNwxjA1CiOZkyovWy+iUXYvzkBfJRueiXOyoqvN8rPrGJjQZhqcOQmOTgdmrd8QE\nkLDOfxjbt2OLKGcMw8QyuGt7XH/8UPz00P6obzRSbtipjOrVAV/efDQWbajAe0u34NGPvms27M4e\n1wsvz9uA8XfNQN/OBZh1/ZF4+INVmLt2F+au3YWJAzo3SyFXbKnE8Q983Hzc57/8HnPX7MR/5m/A\n1FHd8dC5B7T43dv31qKhycBfzz0Axw3rGooElIKZFORGcPjgMtd99+vSHtN/NRn/959FWL8rft47\nwzDw8Aer0L+sEFNGdMejs77Dn95bAQA4ckiX5vN+8H9HtPju5EFl6Ne5AGt3VCOSJTBn7U4Ask5V\nEULgkskDcNULCzDk1mkA5DzCJ84fZ3tNi9bvxil/+wwA8MQna3Djifs7BojZsqcGD0YjMX+7dS9e\nuHRi3N8cD8Mw8NGKbThxRDdP7QzDMK2buFoMIURvIcSHQohvhBBLhRBXR7d3EkJMF0KsjC47Kt+5\nSQixSgixQghxvLJ9rBBicfSzv4p0am0ZxsLhQ2Sn5JX5G5CdJZrDpZe1z8OrX23A1xt2u329mdMf\n+RxDbp2G3dXxDcJNu2Wo9Gzl1ehUZEYte/uKSXj1l4cgwjntGMYTnYvy0jL4kBACY3p3wA0nDMXL\nPz8YAHDXaSPwh9NH4aqjBwEA1u2oxgtzvseOqtrm7937v+V4b+kWjLtzBn75r/nN2yl0/X+iucz+\n+/VmXP/K1zHpCWrqG3HCAzK4RseCnKTN7YvHoK7t0atTATbu2td8vTur6vDmwo0tEp0v3bQH903/\nFlf8ewEG3Pxus2F30qjuLZLcW+lXWoiPrj8Sa+85CU9eYBpqI2zC/g+yBLuZ/s3W5vrZyu/elvP6\nBpRJxcef3luBpz9b0/xbGhqbMH/dTtQ3NuHvs1Y3f2/26h34/X+/cb1m+v51Ly/C5f/+qnnbzqo6\n7Kyqw/x1u/DK/A3YVV2Pgwa4/36GYdoGXjx3DQCuMwzjKyFEewDzhRDTAVwIYKZhGPcIIW4EcCOA\nG4QQwwCcA2A4gB4AZgghBhuG0QjgUQCXAPgSwLsATgDwP90/imF0MERJrNuxIKd5JHZUrxJ8vaEC\nJz/8Gdbec1Lc4yyOzp958pM1+L/jh7juS52HP545qnnb2eN649GPvsOAskKM7MUT4hmmtTGhf6eY\nuuTaYwfjnPG9ccg9H+Cm1xYDACYO6IQmQ+bL+8v0b7Gnph7dS/IxqlcJXv75wcjNzsIxf5mF1dur\nMHFAJ3yxeidemb8Bhw8uww9G9wAAPDd7XfM50sWwI8b26Yh3vt6MDbv2oXenAvz6lUWYEZ1Hdu8Z\nI3HssG5YtGE3Lvrn3BbfJQlrIhwxpAvm3Hw0lm7ag942MvchXdvj5ilDcfe7y3HiiG7435ItuPzf\nX+HVXxyCaUu34LLnv8KgLkU4/5B+WLh+Ny6e1B83TdkfA29+tzmVzZdrduLRn4zFr1/9Gq99tbH5\n2D+Z2Ae3njQMQ2+bhqc+XYPTDuiJET1L8NaiTfhg2VbcedpIvLVwE95bugXHD++Gf89Z1zx39Mqj\n9uCJj9fg1a82tLjmo4Z2bbGNYZi2R1zjzjCMzQA2R9crhRDLAPQEcAqAI6K7PQPgIwA3RLe/aBhG\nLYA1QohVACYIIdYCKDYM4wsAEEI8C+BUsHHHpCmFeRGcMqYH3ly4KUbq0tDonqj32Ptnoa6xCbOu\nPxLbK80R91Xb9uLZ2Wtx3sS+thIxwzCwPprkuGdHM0x1/9JCrPnDlLSSlTEMEy49OrTDxZP648lP\n1wCQES0nDy7D6Y98juVbKgEAb185KeY7T184AR8s34qzxvXGmvIqTH3oU1z5wgJc+cICPHXBONz1\n7jLkRrLw2E8OxDiLFDHVDO8hg6CsLq9CUV4Em3bXNH92w6uLccOri5v/P2d8b9w2dRg+WVmO3p3a\nec6DaKVLcT662OR6A6S0VM7fHAgAuPz5r/DO4s0YoESkXLltL257Ywk6FuTgokn9kZ0l0LEgB7uq\nZTqb/y3Zgol3z8SWPTUxx77qqEHIz8nGB9cdjqPum4WpD32Kwtzs5vQFbyzc1LzvrG+3x3yXPK9D\nurbHiq2yHJw0sjsmDSr1fR8YhmldJDTnTgjRD8ABkJ63rlHDDwC2AKAho54AvlC+tiG6rT66bt3O\nMGnL+H6d8ObCTdhcYcpx6hXjrrahMcbwW719L1Zu2wsAWLZ5D76NNr4AMG3pFkxbugWdC/NwkjJn\nrqGxCfvdIsc4IlkCuZEs9CiJzUHEhh3DtD1unToMt04dhvU7q9GjQzsIABce0g9Pf77Wdk5Xn84F\nuDCam21EzxKccWCvZg8PSfr2716clh6e/lFJ45OfrMYnK2WKhtzsLNQ1NsXs99zPJjTnDzxhRLek\nXd9ffjgGn31Xjt1Rw604P4LzDu6LiQM6Y2zfjs0Jz//zi4MBCKzcWolfPv9Vs2H3o4P64MghXXBg\nnw7NEv8BZUUY17cj5q3bFZOXjnj0xwfij++tQO9OBbjr1BH424er8OLc9fj55AG4acr+WFtehW4l\n+WnnhWUYJrV4Nu6EEEUAXgVwjWEYe9TOpmEYhhDC3Z2RAEKISwFcCgB9+vTRdViGSRiaaN+klO4b\nTxyKpZsqsHxLJUb99n3MufmY5ohnHyujrIs3VGDj7n0QAlCmveC/X2+KMe5eUsJtX3RoP/xwfB+0\n85GLi2GY1okqG/ztycMxdVT3ZgPBjT+dOQqXTh6AGcu2Ns9NO21Mj9CuMwhlRXnIzc5qNuwAICdb\n4McT+2FLRQ3+t2QLAJlPLxXkRrIw6/+OxJdrduCJT1bjh+P7xOTsI/brIuX8vTq2w6ljemBHVR2a\nDAO/mDzQNmLoE+ePw4crtuGEEd2wensVhnRrj/8t2YKjh3ZBYV4kJvfgPWeMwj1nmJJ9TonDMIwd\nnow7IUQOpGH3vGEYr0U3bxVCdDcMY7MQojsAitW+EYCa8bVXdNvG6Lp1ewsMw3gcwOMAMG7cOG1G\nI8Mkil3KgbL2ebj22MG49Ln5qG1owuzVO5pHkLfvNWWYX6zZgbxIFjoX5qJnh3ZYtEHOvavYJ0d+\n31iwEaVFebjl9SUY2q093rpiUsYkzGUYJnWM6+ctcEZWlsCQbu1RWpTbbNxNGuQevTJVCCEwoX8n\nfLqqHPedNRp/+N8y/GhCH1x7nJyn/MXqHehcmJvSYFIlBTk4bni35pQWbuTnZOOBcw6Iu1/Hwlyc\nfqDsGlFgl5NHp6cBzjBMZhDXuItGtHwKwDLDMO5XPnoLwAUA7oku31S2/1sIcT9kQJVBAOYYhtEo\nhNgjhJgIKes8H8BD2n4Jw4RAYZ79K6JKosoVg27HXjMiJk2gH9a9GP+4cDwiWVm45qUFzQbgNS8t\nbN63T6cCNuwYhgmFzkV5WHvPSWhqMprTFKQj5MU6fng3nDymB3IUQ25iijx2DMMwmYaX3uShAM4D\ncJQQYmH0bwqkUXesEGIlgGOi/8MwjKUAXgbwDYBpAC6PRsoEgMsAPAlgFYDvwMFUmAxlXL9OmBgN\nO00RLg3DiImIptK5KA8lBTnoUJCLXVX1aGqKdUj/bFL/cC+YYZg2TzobdgDQLjcbU0Z2R3aWiDHs\nGIZhGO94iZb5KQCnFuFoh+/cBeAum+3zAIxI5AIZJtV88usjEcmOfQVK2uXgxUsPxtSHPsHXUbnl\nzGXbmif/L7r9OIz+3fsAgGuOGdT8vf6lhXh9wUb86MkvYo43WEm7wDAMwzAMwzB+SChaJsO0Rexy\nIBH7lRVh7tpdAICtlTIq2uheJShpl4Nv7jgeVbWNMeGpfzC6B574eDW+WL0TAPDFTUdjztqd6FiY\nWI4mhmEYhmEYhrHCugeGCUD/0iJsqtiHmvpGbNsj59K9eOnBAICC3EiLvEP9Swvx+U1HoWtxHu4+\nbSS6leTz5HmGYRiGYRhGC+y5Y5gA9CstgGEAF/1zLnZV16F7SX7cNAbt83Pw5c3HJOkKGYZhGIZh\nmLYCG3cME4ABpUUAgNmrd6T4ShiGYRiGYZi2DssyGSYA/Uqd5+MxDMMwDMMwTDJh445hAtA+PwcX\nHtKv+f/nfjYhdRfDMAzDMAzDtGmEYRjx90oh48aNM+bNm5fqy2CYuFTXNaAgl5XODMMwDMMwjF6E\nEPMNwxgXbz/23DGMJtiwYxiGYRiGYVIJG3cMwzAMwzAMwzCtADbuGIZhGIZhGIZhWgFs3DEMwzAM\nwzAMw7QC2LhjGIZhGIZhGIZpBbBxxzAMwzAMwzAM0wpI+1QIQojtANal+joslAIoT/VFMBkP1M5G\nrgAAIABJREFUlyMmKFyGGB1wOWJ0wOWICQqXIXf6GoZRFm+ntDfu0hEhxDwveSYYxg0uR0xQuAwx\nOuByxOiAyxETFC5DemBZJsMwDMMwDMMwTCuAjTuGYRiGYRiGYZhWABt3/ng81RfAtAq4HDFB4TLE\n6IDLEaMDLkdMULgMaYDn3DEMwzAMwzAMw7QC2HPHMAzDMAzDMAzTCmDjjmEYhmEYhmEYphXAxh0A\nIURvIcSHQohvhBBLhRBXR7d3EkJMF0KsjC47Kt+5SQixSgixQghxfHRbeyHEQuWvXAjxQKp+F5Nc\ndJWj6PYfCiG+jh7n3lT8Hib5JFqGhBCdo/vvFUI8bDnWXUKI9UKIvan4LUzq0FyOpgkhFkWP85gQ\nIjsVv4lJPprL0UfRdo76R11S8ZuY5KKrDHH/OjF4zh0AIUR3AN0Nw/hKCNEewHwApwK4EMBOwzDu\nEULcCKCjYRg3CCGGAXgBwAQAPQDMADDYMIxGy3HnA/iVYRgfJ/HnMClCVzkC0AHAAgBjDcPYLoR4\nBsCzhmHMTP6vYpKJjzJUCOAAACMAjDAM4wrlWBMBrAOw0jCMomT/FiZ1aC5HxYZh7BFCCACvAPiP\nYRgvJvs3MclHczn6CMD/GYYxL9m/g0kdOsuQ5bjcv3aBPXcADMPYbBjGV9H1SgDLAPQEcAqAZ6K7\nPQNZIBHd/qJhGLWGYawBsAqyg96MEGIwgC4APgn/FzDpgMZyNACyQ749ut8MAGck51cwqSTRMmQY\nRpVhGJ8CqLE51heGYWxOyoUzaYXmcrQnuhoBkAuAR4TbCDrLEdM2CaMMcf86PmzcWRBC9IMcNfgS\nQFelc7QFQNfoek8A65WvbYhuUzkHwEsGu0bbJAHL0SoAQ4QQ/YQQEchKr3cSLptJIzyWIYZxRUc5\nEkK8B2AbgEpI7x3TxtBUHz0TldTdFvUEM20IjW0a96/jwMadghCiCMCrAK5RRisBANFClEhBOgdS\ncse0MYKWI8MwdgH4JYCXIEem1gJodPsO07rQXBcxbRRd5cgwjOMBdAeQB+Ao3dfJpDeaytGPDcMY\nDuCw6N952i+USVu4f51c2LiLIoTIgSx4zxuG8Vp089aoXph0w9ui2zci1pPSK7qNjjUaQMQwjPmh\nXziTVugqR4ZhvG0YxkGGYRwMYAWAb5Nx/UzqSbAMMYwtusuRYRg1AN6ElFMxbQRd5cgwDGrbKgH8\nG5apLEzrRWddxP1rb7BxByAqD3gKwDLDMO5XPnoLwAXR9QsgGzbafo4QIk8I0R/AIABzlO+dCx5V\naHPoLEcUSSwaQeoyAE+G/wuYVOOjDDFMC3SVIyFEkdIBiwA4CcBy/VfMpCMay1FECFEaXc8BMBXA\nEv1XzKQbIbRp3L/2AEfLBCCEmAQpf1sMoCm6+WZIXfDLAPpARp072zCMndHv3ALgpwAaIN3M/1OO\ntxrAFMMwuBFsQ+gsR0KIFwCMjh7jDo5O1zbwWYbWAiiGDHaxG8BxhmF8I4T4I4AfQUZi3QTgScMw\nfpu0H8OkDF3lCMAOAP+FlGNmAfgQMkJdQ7J+C5M6NJajdQA+BpADIBsySNi11gjjTOtDZ5sW/Yz7\n1x5g445hGIZhGIZhGKYVwLJMhmEYhmEYhmGYVgAbdwzDMAzDMAzDMK0ANu4YhmEYhmEYhmFaAWzc\nMQzDMAzDMAzDtALYuGMYhmEYhmEYhmkFsHHHMAzDMAzDMAzTCmDjjmEYhmEYhmEYphXAxh3DMAzD\nMAzDMEwrgI07hmEYhmEYhmGYVgAbdwzDMAzDMAzDMK0ANu4YhmEYhmEYhmFaAWzcMQzDMAzDMAzD\ntALYuGMYhmEYhmEYhmkFsHHHMAzDMAzDMAzTCmDjjmEYhmEYhmEYphXAxh3DMAzDMAzDMEwrgI07\nhmEYhmEYhmGYVgAbdwzDMAzDMAzDMK2ASKovIB6lpaVGv379Un0ZDMMwDMMwDMMwKWH+/PnlhmGU\nxdsv7Y27fv36Yd68eam+DIZhGIZhGIZhmJQghFjnZT+WZTIMwzAMwzAMw7QC2LhjGIZhGIZhGIZp\nBQQy7oQQ/xBCbBNCLFG2dRJCTBdCrIwuOyqf3SSEWCWEWCGEOD7IuRmGYRiGYRiGYRiToJ67pwGc\nYNl2I4CZhmEMAjAz+j+EEMMAnANgePQ7jwghsgOen2EYhmEYhmEYhkHAgCqGYXwshOhn2XwKgCOi\n688A+AjADdHtLxqGUQtgjRBiFYAJAGYHuYakYxjA3r1AVpb8a2iQ29u3j92nsRGIONxewwCqquTn\n9fVyW1GR3JaVJb+bkwPk58vPa2qAdu2Afftij1NUBAih/zcy3mlsBKqrgexs+VwLC+33a2gA6urk\n/kLIZ9/UJJ9zTo7cp65OflZTYz5/QB4/EjHLG5UZAMjNldtrauQ1NDbKbULIpS5qauS5DUNeV04O\nUFsrrys7CWM09fXmfUrmeWpqzOdghZ59To68B9nZ5nvdrl1410jlgZ4vlZtIRNZNQPjXkO7U15v3\npV077/VkU5N8hu3aOdff6U5Dg9lWUD2yb5/8bXl5cj07O7H7kg7U1srrt9sO2H9mty/Vj5lIZaVc\n0rtN7UFBgXym9OypbsjLk7+5rk7+n5vb8j7V18uyvm+fPA7Va4DZjtTWyuNnZcX2Weg+VlfHL0/U\nlwHMtkpF3VZYKM9F1NbK7xcWmnUc/eZUk6y2KQyo/2pX17l9Fg+6J1VVskw0Npp9WB1tU329LB/W\n519fL/8yrW4LgTDm3HU1DGNzdH0LgK7R9Z4A1iv7bYhuyzyKi2XFVlAg14uLgTvuMD8/4wxg//2d\nv3/ZZdIYbNfO/H5WltxWWCj/p8LZq5f8PyfH3Jf+fvUrebyDDwYGDw73NzP2TJ4sn0VhoSwTTz/d\nch/DkM+Pni09+8JC2XA++SSwa5fcnpsr9ykpAZYvB+6/X+6Xl2dfBvLzze/Q8fPz5fF379bzG6dP\nl8dr314ef+BA4Lvv5HkOOEDPOdxYu1b+xkceCfc8K1bI8zz1lPx/9mzzPezeveX+kyaZ72purmxo\niotlvRBWw/Lmm/I5d+okO3pVVfKcZWXALbeY5aKoCJg1K5xrSHcaGoB+/eQ9KCwETjxRPo9//Sv+\nd884Q96/CRNCv8zQOOAAsxxQ+S0okPeD6hBr5zndufdeWd9Yy/S2bXJ7fr5cd2PlSrnf5ZeHd51h\ncscd5nOlQUHqQ0QiwKefAqNHm21Afr589vn55vc6dQK2bjWPuWmTOUBYWCjr+hNPNPdv3162PVRm\n1D7LL35hlq3CQuDWW52v3TBkH4W+S22V+qduy86WfR8AKC8HOneW15KVZe5zxBGh3m5PkPH7+eex\n2885x9tgQ6rp2xcYNsz+s9xcWcZefTWxY/7xj/K333+/WQerfdig7aNhAD16xPY9yIjMzZXnu/RS\nWR6FAAYM8H+uDCbU2t0wDAOAkej3hBCXCiHmCSHmbd++PYQrC8if/2yu33STrHhWrjS3vf46sGqV\n8/e/+85cv/pqoE8f533VBqt/f3nuP/8Z6N3bPOcXX8Sen0keK1cCPZUxitWrW+5DI8sA8JvftPz8\n9deB7dvN0VVArn//PbBsWey+9fXAVVfJMnD++c7X1dQUv7PjlSVLzPUpU4D166XBBQCLF+s5hxsb\nN8rlM8+Ee5510QjDL74ol+p7umVLy/1XrWpp9PXuHc61EXRNVVWy07N7tyxfFRXABx/IOuKmm+Tz\np9/T1qiulp1W4r335PLxx+N/l+pR9dlnGqtXA4cfDvzyl/afH3KIub5jR3KuKSgffyyXa9bEblfr\nOLt3VOX77+XyhRf0XVcyWb0a6NhRvuN2PP+8ffsDyM7uhRfKd2PzZnO7td+werUcVJwwIbafc9ZZ\n5voVV8hroO+Sl/jbb52vvalJthnHHQf89rfmdurPELfdBowaJdep3t+8WdZ3RK9esnwvWuR8vmSz\ndGns/y+9FNuepyubNtn3HQ1D/gHAQw8ldsyHHpLf/fTTlp/pMLTq62Xbp/Y9rPXYV18Bd90l1611\nRhshDONuqxCiOwBEl1T7bgSg9nx6Rbe1wDCMxw3DGGcYxriysri5+pKLEMB115n///znctRc7cAT\nhoNd29Rkrv/0p3L0BHB2VRcXy2XfvvLc110nO5F252SSS21tbIVllZoApsQFkIaZlU6d7L9XWxvb\nqBEXXSTLwOmnx782HZSXm+tHHy2XVolwmNC9sbtHYUDvp/rc7GhsbGnMhe1BV59pbW3sPVm+HJg4\nUY6oA7Hy3baEU7n3Ip2ie5asshYGjY2yHPzkJ/afH3aYuf7hh8m5pqDQSL/12arPKV59R59nqlyr\nsVEadx072n9eWRnbt1A591zTQFPvk1q302fV1cD48bH9nNNOM9cvuEC2edb77Vbf0HOaPDm2DaT+\nDHHFFcCIES2vSaV3b+DYY+XvTZc+kM4pEMnCqX8KxD5LkgJ7hd4vuz7CgQcmdiw7SC6qYq3bGxvN\nfnMbJQzj7i0AF0TXLwDwprL9HCFEnhCiP4BBAOaEcP7kkp1t6tqB2BfGrhBa98nLM933ToXRrjJX\nz8mkjtra2OcWz7izk2p07Ohs3NH8AhU6RjzZRxjGHZ0znuGjE7o3Tu+TLuj4dD4vxp11jqVTx0sX\nVuNO7cxVVMgRdZojEfb9Slecyr2XuSPWMpCJNDVJ+ZpT/aCW0Zkzk3NNurA+W7X8ezXuMhV6rk6d\n7cpKc060lUjELA9ejLuCgtjt6jGpz2K9n26eKnqfqL/khNofUq/Juk9pqVxPpedZNV4ycc6d2g+1\nDgqo99zv9A67gemeGmZi2bVr1gGbhobw2+I0J2gqhBcgA6IMEUJsEEL8DMA9AI4VQqwEcEz0fxiG\nsRTAywC+ATANwOWGYWRwCxqFKk16GSoqzM+cGhP1RVIrMzUoiwoVUrVQ5+Zmhtu/NWMY8hmrz82P\ncUeT2K3U1dlXkF6NO13lw864o4nxgPsIoA6S1eGm0UqvnruGhpbe9mQadxSgR2XAALOjwZ67WBLx\n3GWyYRzPuFMHozLFuKM6xs24i1ff0edh11dhQc91zx77z8lzZ/fcc3K8GXc1NWZgFRW18+xk3LkZ\nz2pwjnjGndXj42bcWa8/majnTofALoni9u6o//u9x3btp93c9URR62b6DdZ3urER6NAh+LkymKDR\nMs91+Ohoh/3vAnBXkHOmHdnZsYaW+iLU1soJpVbUlyo313TpO0VapEKqduTYc5d67CKl2nUK1UrO\nznvQ2Gj/PSdZJpWXeFIQXeVDnfdK51Qb4Pr6cGUpyZJl0jNIRJZp7QSF3aCoja5VlglI466te+6c\nOvlePHetQZZJRoDTO6mW2ZUr5RzasOeK6sL6bNui587JuNuzR+5jZ2hEIqaBpt5Da0wDGpy21msq\n1GexPgu3+6t67twModzclsaE9Ty5uaZxl8qYDF6MHsNIXxmw1bhTvbPqs3Qqb/Gwaz87d/Z3LBW1\nXauvl31hq+eRJMxtmAwKl5WmWGWZ6gvv1MlwkmU6hVynQsrGXXpB9z8RWaZdRd/YmNicu3SQZarG\nXdjlMFmyzEQ9d3ayTLvBHJ24yTIBKctkz5399kQ8d4bhPH8pnaFACG7yN2vHPRO8d06eu7Y25y47\n23m+865d8j7ZRUH16rnbtUsu/XjuvMoy3cjKspeKAqZKIh09d07e4HRWV7m9OzradLv2s6Qk+HHV\nfgBdp7X/xLJMNu4CY5VlWj13djjJMuPNkWBZZnpBz1dtCOMZd3Y0NGS2cbdqlb3hpWs+RLJkmYnO\nuWtoaNkJchvx1gFFKQXsZZm9erHnTsecOyAzvXfUtrjJMtUyWlaWGcYdPdPly2O3q21pebl7m0jH\n2LUrOXOGN23SG3iKPHdOUD1tt48qh1y40LxvVuNo/ny5dKvHqM+yYUPsdrdopYnkTLMaTRTdkwZR\n08G4W7s2NjKp00BQGAOfhiHfg3jRYeOhXvOiRbEGqtN179rlvV60i9bsNPUoEdQ6+uuv7Qfi6uv1\nnCuDYeMuKFbP3c6d5mcUvtmKWhApTxlgVr5dusTuz7LM9ITmnalSvHiyTDussswePeSyrs4+oAp5\neONJAHUY/4YRa6TZyTIPPBC4/vrY7y1cKBtgHekLku25o/O4PTd6h61BkMI07urqgHfeMf+3k2VG\nIuy50+G5AzLfuHPyIlMZ7dpVhpS35uhKR6iu/c9/Ygc41Lb0kkuAI490PoZaH15yidbLsz1Xz54y\n35kuyLg76CD7z6nc281ryskxvSa//70ZJl7trwBmegFrPabKdkkGZ30/1q+PnYutYue5U1M6qHmB\nDz3UXL/nHjOlB5XnvDxT3peKgCqvvSavnaISA87G3Rdf6D//jBnyfvXsGWz+qHrNxx4L/OUv5v92\nfYe6OhnZ+4or3I9rp0CjZ60jFYLaDzjsMODvf295/+vqYu/NihXBz5thsHEXlEgk1oumdg7comWO\nHi1zcagjap07y9Ggb78F/vQnc/9OneQynnHXVjtzqYL0/n37ynx0TikNyEh4993Y7V9+KZ+/6rn7\n5z+lYQSYnrsf/1gmsAXM8gbIBvezz4AFC+SI2oIFQLdu5vF1GP8NDbLivOIKOYJq57kDgGnTYv+n\nvD/vv6/nGoDkee4oGp2bcUfXUlQEzJtnbi8oAI46ynn+bBDoeU6aZP5v16mgkfu26rmjuvi552Jz\nunmR6dTXmx3QTLx/VuOOjB01KXtBgTSQli2TAzCJhjpPBaoRonprrOXfzVBV68Ow52rR8d96S98x\nybh7/33ggQfktuxsWS9PmmR6Kk4/HXjkkdjvRiLS6KPUUpSYuqFB9kU++QT461/N/an+2rhR5olU\nQ9jn5jonELdTmgBmfUmeu9WrZf+HmD3bzC35j38AP/yhXH/9dXMfMu46d5bHiUScjckw+eijltus\n5ZA8i2rCeF2QJ7OpKVgdZb1mtX9C7wrN1TQMs81/7jn341rn1S1YII2rxYtlqqDjjguW4N36m999\n1z7ap9pfSMd82SHDxl1QrJ47LxO8m5pkRXvAAfJ/KuilpXKEo6TETOQJOMsyrcdPZnh6xkyg27Ur\nMHSobHzcjLvhw2O39+snvbTqnLuBA2U5EEI2XNXVcrSrVy/5+Zgxscc45BC5rUMHuVRlLzqMOzpG\n377ScHQy7qweLDIwdMxbSlZAFRocodDPbu+TKjMaO9YcgCksBAYNCse4o3s5erRc2skyAVl2cnIy\n0zjRAZXZwYOBkSPN7fGMO8OQZYBGnjPRc2f1kJCX55hjzH0KC+X73LGjfTuSjpSXA/vtJ9fV603k\nGdH3Jk8O/zeHIRekOXfFxaana+BAWS+PHGnWX5GIHGBSIa815Tik+2YYsixMmmTWK4DpuevRQ3bG\nVSIR81lYcbqvVBdRuezfP1Z5UlJienUKCsy2Um0/aN4fGU6pUi+p8w/JoLZ60GiQNYxyoLZLQX6/\n27tDxz30UPnbGhrM8hVvzqr1msaMkeWP8hfut1+wuenWdk2Ilr+lrs5+bl4bgo27oPg17lRdPFV4\nVGkBsRIiJ1mm1XXOxl1yIeOOZLTZ2e6yTKvUhUYfVVkmjZTl5ZlGRlGRabTF66Cqshcdskwqw9Z5\nftYRU6u+PRONO3oGXow7ayea/i8oMJ+pbuheUmABO1kmEYm0XU++WmbVwY54EV3pXmaycad67gDT\nk6K2LWo9lAny/sZGKb+jHFnq9SZSv9TVyfKQn5+Zxp3ab6B6mOqf7Gyzvs/Kahm4hN4Dq1e6qcns\nrKveFDd5uRCx5UnF6b56DahivV61DqMBxVQbdypUF1vLIbWH6Wzc2UWYJKgs0e+orfV+rnj9jqDt\no7WP1dgY33OX6nKSAti4Cwp1xO2i9rgZd+roB82rotF/ILZT4hYtUx0xYuMuuZDkomtXuczOdvfc\nWRtMCgutyjKp8cvLM6VIhYVmeUnEuNPpubOmX7B67sI07pKd566+Xr5Xfo07JyM/KHQO1bhzur/s\nuZPvkDpIFq/80P2i+5uJ989q3FEdokqlrMaddX5KukFRIGkusl/jrrbWOdKjbqhTrzN6bjzjjuov\nO+OO3gNrfaWG6lcHP+LNHXYy7pw69lZZZjzoetV30GrcpcrrrL4rNBBkLYdOAWt0oEpfgwzguhl3\n1kjgtbXezxXvmQRtH63ftWsHm5paRpZuY7BxpwN1zp2XpKrWcMU050GVtqmdEpoIbZVlArEjW2zc\nJZdt2+RzoOcWz7izTjQm406VZVLjm5sba9xRGYln3OmWZVIZtnrurGXNGqGNOgw6PXdhd7bV41dU\neJdlqv+TcZcMz52TLJOuq6167qjM5ubGvg/xyiLdr9bkuaPQ9mq9YTXuSHaVrlAHmTx3arvqx7hL\nRqRpumarXD0IqnFH/QMq3zR3G5B1r1fPndoX8eq5A5xD2nuVZcbDq+cuFRHDVeOO7p11cIR+byZ5\n7uxkjDRoW1fn/Vy1te7Bq4K2j9a6qq7Ovh6orjbr8jYYWZ6NOx0ElWVSkkjV+6F2SqjStXrugNhC\ny8Zdctm6VUoyyZBRG1iV6mrZIbcaQE6yTKCl586uk2ZHWJ47q3Fn9dxZzxWGLDNZ0TIB2Shb3yf1\nt6S7LJM9dy09d23BuKNrpvePJMbq/CYqP4A5SJjOI9tW4y7InLtkee4ogIPOubc05w4wy7LquSOy\nslp6yKzGIN03VUWUiOfOad5VPFmmTs9dqmSZdgPqTl6wMAJ5hDXnTqcs08mzC+iXZTq1g/v2meU4\nneu3kGDjTgd5eWZUQa/GnVo5kldGNe7UTombcTdjhrmNjbvksm2bKckEZAP79tsyJLRKdbV9Y0me\nu5Ur48syybiLl/5AbTx1zrmzyjKtc+6cjLsPP5QR14KQ7GiZALBmjfxTUc9vHYlOhiyT6hYyPqZP\ndzZY9u0DlizRfw2ZwPffy6V1zl2ixp3OHGXJwtrptxsUsmtb0rnzM2eOXJJx9+mnMqI0kPicu9zc\n5MoyV67UUxfs2yfTFFC9am0v1HLuZc6dnSwzEc8dYJ9HzO6+VlcDH3wQe/542OXqpDaHIn6myrhT\nz0kSSSfjLmzPnU5Z5oIF5vGsssxFi2RZBrwFVHEz7nTJMqmMzJ8vc+1aqapi447xwUknmetqA6mO\nUDkZW1ZZ5tSpcjl0qLlNrazpRTnzTHMbdUBOO83c5hSGmAmHbdticxKWlckO4mWXxe6nygMA4OKL\n5TI7WwYKWLkyNtIZIDsh1DErKjJz/xx+uPs1UQhpILmeO2sjQ+W7osKM9OmXZEfLBIBnn3W+DnWd\nnteFF8pl587y2dXX679eaozpnB98EJsoVo12t2ePTJPRFqFEzEVFZthwIL4hQJ0GKuNffqn/2sLG\nKss8/XS57N0bmDixpTTcTgGSbvzjH3I5erQs+w89BJx7rtzmV5YZdmeP6m4gdgDWL7/8pRzso7xu\nVKeedZZcqkaTEC3n+lGdccIJcknRuNW+iJN3l1D7J0BsG0DHsCtHzz4L/OpXct2t069il6vzpz+V\nS5KEJkNea4cqSaVotE6yTGseQR3olmVOnCiX9fXA1VfHHrdPH7k89VSzrMWbn1tbGxul2EpubrA0\nDvS9M84w/6drU6muNj3nqUiZkWLYuPPL66+bgVDIm6Fqf8vKnF9sqyzzmmukfEZNFKqOrnbrBmza\nZOa2AVrmEgHYc5dstm6N9dy98YZMcVFREbtfQ0Ps83zsMdn5zsqSYaYjkZbeW6vn7tRTZYeBKmIn\nbr5Znr+kJNw5d9Swf/QRcPDBLTtZVglqEJI5587qtXnmGeC222KvQ12nTtXf/y4NiQ4dzMBIJInT\nhSq5+9vf5Dp1IqdPNz0cbZ26Ohl2Oz8/dsArnrFNHUnKDZeJskyrcXfHHWZ9MHNmSy96JnjuhJB1\nzODBcjDjpJPMOtZa77h5FVRZZthGQX29aVAFVS4A5rtNMr9evWT9ct118n+rLLOwMFZBQuWBOsGU\nUkdVEameOLvIsosWxb5Pxx5rrruVI+onLVkSm6DcDbs5d488YrabdM5UlFsyGFavNgcBnTx3YVyf\nbuPukkvMbZQnko574oktpbTx2va6OpnqYts2e4cDtY9+DV8qE1de2fLaXn8dePRRuV5baw5yZKIK\nIyBs3PklJ8d8ydWKjV6Yrl2dXfJWWaYQLScoU6GlF6l799gKnKQJKmzcJQ/DaOm5KyqSI6LWCled\nKwHIdWpIO3eWRoU1qI4qkaFyFk+SCciyVFysrwMTz3PXr5+8vjCNu2TNHaMOmXrv8vPt80xapSGR\niJnbiN5N3ZIcVXJHEjV654uK7Dtk6RwFMSzKy2X+LyC2XHqVZarzTDIN65y7rCyzTikoiI3IDGTG\nnLvaWpmLDZARM7t0sY9ODbT8fSrJlGU2NpreNR31AJVJMpQA2WdQ53sT9OypjrCSnx8ry7Srq+22\n5ebGyjVV7x6d3+6+Ul1J76QX7GSZarsJpFaWWVAgDRhqDzPRuKNrVAeeqb1Qg1LRu0e4te0UHC43\nV7aDdvJe8t76fS+oTOTktOwH5+ebfemaGrO8tMG+MRt3OrAz7rp0cS68ThWqijV0sRU7eUMbLMAp\no6JCVoCqcQfYNzhW485ufzLurAMG6rZE0NXwWefcUbkk4y4rS/4lw3MXNuRhjUTM363OX3Hz3KkE\nbbycUL0yViPb6X7rCGiTaWzfbj4D9Zl5Ne7ofUtnqaIT1jl38cgEWSZ53Ah18MX6TN2MO2tAlTAH\nPhobpVGdn6+nHiAD3WnqhVWWqS7t9lWjZcabQ+UFahfsylGiOe7U47kN7KXSuKPyGC9aZljGnRox\n2S9udYU6qKu+e0B87zh9z4mgg5/qwKp1QDM72xwYqKmR5Sg/v032jdm404E6+kkVWdeuzpGSrLJM\nO6yeOyts3KUWSmCuyjIB+3kADQ3OUcJoflZFhRxlouetVlrpYNxRZS2EvDarcWc1wMITulP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4Jq3OmYIgLI987umatzu7yi1mdO303FO2rn6bRenzovLizjrqBAli2/7aFdHyYnxzyedc6dug/g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\nbuZMkZtrxx2Dr+m3sEjLlJoQRu4oD5WO5o6g0tyl6XMXBZuaO1MBceNGR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O6D6mDGDHvl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\nDg41gP8PEI0+T9fRowIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xed3e3c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import talib as ta\n",
    "from fxdayu_data import DataAPI\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "DataAPI.set_file('D:/PycharmProjects/Quant_Alpha/Data_Manager/Valuation_Selection/config.py')\n",
    "hs = DataAPI.candle('sh000001', 'D')\n",
    "\n",
    "x = np.array(range(1,21,1))\n",
    "\n",
    "\n",
    "def calculate(s):\n",
    "    mas = ta.abstract.MA(hs, s)\n",
    "    mal = ta.abstract.MA(hs, 4*s)\n",
    "    df = pd.DataFrame({'long': mal, 'short': mas}).dropna()\n",
    "    df['direction'] = map(lambda s, l: 1 if s > l else 0, df['short'], df['long'])\n",
    "    return df['direction']\n",
    "\n",
    "if __name__ == '__main__':\n",
    "    df = pd.DataFrame({s: calculate(s) for s in x}).dropna()\n",
    "    MA_sum =sum([s for key, s in df.iteritems()])*5\n",
    "    \n",
    "    fig = plt.figure(figsize=(15, 7))\n",
    "    plt.subplot(2,1,1)\n",
    "    plt.plot(hs.close)\n",
    "    plt.subplot(2,1,2)\n",
    "    plt.plot(MA_sum, 'r')\n",
    "    plt.hlines(60, MA_sum.index[0], MA_sum.index[-1])\n",
    "    plt.hlines(40, MA_sum.index[0], MA_sum.index[-1])\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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7dszls/BuW7lypWJmZqY0btxYady4sdK3b1/lr7/+Uho2bKjUqVNHadOmjfL0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\nSUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x214c5710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#coding=utf-8\n",
    "# run_code_demo\n",
    "from rqalpha import run_code\n",
    "\n",
    "code = \"\"\"\n",
    "import numpy as np\n",
    "import talib as ta\n",
    "import pandas as pd\n",
    "import os\n",
    "import rqalpha\n",
    "from rqalpha.api import *\n",
    "\n",
    "def calculate(close, period):\n",
    "    mas = ta.MA(close, period)\n",
    "    mal = ta.MA(close, 5*period)\n",
    "    if mas[-1] > mal[-1]:\n",
    "        return 1\n",
    "    else:\n",
    "        return 0\n",
    "\n",
    "def init(context):\n",
    "    context.s1 = \"000001.XSHE\"\n",
    "    context.PERIOD = 80\n",
    "    context.MA_Statidtic = []\n",
    "\n",
    "def statistic(close):\n",
    "    count = 0\n",
    "    for i in range(1, 21):\n",
    "        count += calculate(close[-i*5:], i)\n",
    "    return count*5\n",
    "\n",
    "def handle_bar(context, bar_dict):\n",
    "    close = history_bars(context.s1, context.PERIOD+1, '1d', 'close')\n",
    "    if len(close) == context.PERIOD+1:\n",
    "        MA_Statistic1 = statistic(close[:-1])\n",
    "        MA_Statistic0 = statistic(close[1:])\n",
    "        cur_position = context.portfolio.positions[context.s1].quantity\n",
    "        shares = context.portfolio.cash/bar_dict[context.s1].close\n",
    "        if MA_Statistic1>40 and MA_Statistic0<40 and cur_position>0:\n",
    "            order_target_value(context.s1, 0)\n",
    "        if MA_Statistic1<65 and MA_Statistic0>65 and cur_position==0:\n",
    "            order_shares(context.s1, shares)\n",
    "\n",
    "\"\"\"\n",
    "\n",
    "config = {\n",
    "  \"base\": {\n",
    "    \"start_date\": \"2000-06-01\",\n",
    "    \"end_date\": \"2016-12-01\",\n",
    "    \"securities\": ['stock'],\n",
    "    \"stock_starting_cash\": 100000,\n",
    "    \"benchmark\": \"000300.XSHG\"\n",
    "#     \"strategy_file_path\": os.path.abspath(__file__)\n",
    "  },\n",
    "  \"extra\": {\n",
    "    \"log_level\": \"verbose\",\n",
    "  },\n",
    "  \"mod\": {\n",
    "    \"sys_analyser\": {\n",
    "      \"enabled\": True,\n",
    "      \"plot\": True\n",
    "    }\n",
    "  }\n",
    "}\n",
    "\n",
    "# 您可以指定您要传递的参数\n",
    "run_code(code, config)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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16igNGzZUZs6cmSnfmTNnykCcb4lX/Z7Q9Zssq2uIEG+TKzfuvfDvXWSgKIry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\npP8Po2gd8+LzwqoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x5aa9d4a8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "{'sys_analyser': {'benchmark_portfolio':               cash  market_value  static_unit_net_value  total_value  \\\n",
       "  date                                                                   \n",
       "  2005-01-04  738.21      99261.79                  1.000    100000.00   \n",
       "  2005-01-05  738.21     100248.56                  1.000    100986.77   \n",
       "  2005-01-06  738.21      99300.17                  1.010    100038.38   \n",
       "  2005-01-07  738.21      99379.96                  1.000    100118.17   \n",
       "  2005-01-10  738.21     100381.88                  1.001    101120.09   \n",
       "  2005-01-11  738.21     100711.14                  1.011    101449.35   \n",
       "  2005-01-12  738.21     100671.75                  1.014    101409.96   \n",
       "  2005-01-13  738.21     100684.88                  1.014    101423.09   \n",
       "  2005-01-14  738.21      99819.31                  1.014    100557.52   \n",
       "  2005-01-17  738.21      97712.45                  1.006     98450.66   \n",
       "  2005-01-18  738.21      98443.69                  0.985     99181.90   \n",
       "  2005-01-19  738.21      97688.21                  0.992     98426.42   \n",
       "  2005-01-20  738.21      96581.25                  0.984     97319.46   \n",
       "  2005-01-21  738.21      99242.60                  0.973     99980.81   \n",
       "  2005-01-24  738.21     100811.13                  1.000    101549.34   \n",
       "  2005-01-25  738.21     100775.78                  1.015    101513.99   \n",
       "  2005-01-26  738.21      99982.93                  1.015    100721.14   \n",
       "  2005-01-27  738.21      98437.63                  1.007     99175.84   \n",
       "  2005-01-28  738.21      97890.21                  0.992     98628.42   \n",
       "  2005-01-31  738.21      96442.88                  0.986     97181.09   \n",
       "  2005-02-01  738.21      96550.95                  0.972     97289.16   \n",
       "  2005-02-02  738.21     101697.91                  0.973    102436.12   \n",
       "  2005-02-03  738.21     100315.22                  1.024    101053.43   \n",
       "  2005-02-04  738.21     102702.86                  1.011    103441.07   \n",
       "  2005-02-16  738.21     103381.58                  1.034    104119.79   \n",
       "  2005-02-17  738.21     103081.61                  1.041    103819.82   \n",
       "  2005-02-18  738.21     101612.06                  1.038    102350.27   \n",
       "  2005-02-21  738.21     103588.63                  1.024    104326.84   \n",
       "  2005-02-22  738.21     105720.74                  1.043    106458.95   \n",
       "  2005-02-23  738.21     105437.94                  1.065    106176.15   \n",
       "  ...            ...           ...                    ...          ...   \n",
       "  2016-10-21  738.21     336101.74                  3.359    336839.95   \n",
       "  2016-10-24  738.21     340125.58                  3.368    340863.79   \n",
       "  2016-10-25  738.21     340112.45                  3.409    340850.66   \n",
       "  2016-10-26  738.21     338834.80                  3.409    339573.01   \n",
       "  2016-10-27  738.21     337915.70                  3.396    338653.91   \n",
       "  2016-10-28  738.21     337353.13                  3.387    338091.34   \n",
       "  2016-10-31  738.21     336964.28                  3.381    337702.49   \n",
       "  2016-11-01  738.21     339264.05                  3.377    340002.26   \n",
       "  2016-11-02  738.21     336668.35                  3.400    337406.56   \n",
       "  2016-11-03  738.21     339873.08                  3.374    340611.29   \n",
       "  2016-11-04  738.21     338771.17                  3.406    339509.38   \n",
       "  2016-11-07  738.21     339015.59                  3.395    339753.80   \n",
       "  2016-11-08  738.21     340483.12                  3.398    341221.33   \n",
       "  2016-11-09  738.21     338658.05                  3.412    339396.26   \n",
       "  2016-11-10  738.21     342451.61                  3.394    343189.82   \n",
       "  2016-11-11  738.21     345139.22                  3.432    345877.43   \n",
       "  2016-11-14  738.21     346455.25                  3.459    347193.46   \n",
       "  2016-11-15  738.21     346416.87                  3.472    347155.08   \n",
       "  2016-11-16  738.21     346388.59                  3.472    347126.80   \n",
       "  2016-11-17  738.21     347090.54                  3.471    347828.75   \n",
       "  2016-11-18  738.21     345163.46                  3.478    345901.67   \n",
       "  2016-11-21  738.21     347552.11                  3.459    348290.32   \n",
       "  2016-11-22  738.21     350304.36                  3.483    351042.57   \n",
       "  2016-11-23  738.21     350947.73                  3.510    351685.94   \n",
       "  2016-11-24  738.21     352362.74                  3.517    353100.95   \n",
       "  2016-11-25  738.21     355651.30                  3.531    356389.51   \n",
       "  2016-11-28  738.21     357043.08                  3.564    357781.29   \n",
       "  2016-11-29  738.21     359968.04                  3.578    360706.25   \n",
       "  2016-11-30  738.21     357338.00                  3.607    358076.21   \n",
       "  2016-12-01  738.21     360069.04                  3.581    360807.25   \n",
       "  \n",
       "              unit_net_value   units  \n",
       "  date                                \n",
       "  2005-01-04        1.000000  100000  \n",
       "  2005-01-05        1.009868  100000  \n",
       "  2005-01-06        1.000384  100000  \n",
       "  2005-01-07        1.001182  100000  \n",
       "  2005-01-10        1.011201  100000  \n",
       "  2005-01-11        1.014494  100000  \n",
       "  2005-01-12        1.014100  100000  \n",
       "  2005-01-13        1.014231  100000  \n",
       "  2005-01-14        1.005575  100000  \n",
       "  2005-01-17        0.984507  100000  \n",
       "  2005-01-18        0.991819  100000  \n",
       "  2005-01-19        0.984264  100000  \n",
       "  2005-01-20        0.973195  100000  \n",
       "  2005-01-21        0.999808  100000  \n",
       "  2005-01-24        1.015493  100000  \n",
       "  2005-01-25        1.015140  100000  \n",
       "  2005-01-26        1.007211  100000  \n",
       "  2005-01-27        0.991758  100000  \n",
       "  2005-01-28        0.986284  100000  \n",
       "  2005-01-31        0.971811  100000  \n",
       "  2005-02-01        0.972892  100000  \n",
       "  2005-02-02        1.024361  100000  \n",
       "  2005-02-03        1.010534  100000  \n",
       "  2005-02-04        1.034411  100000  \n",
       "  2005-02-16        1.041198  100000  \n",
       "  2005-02-17        1.038198  100000  \n",
       "  2005-02-18        1.023503  100000  \n",
       "  2005-02-21        1.043268  100000  \n",
       "  2005-02-22        1.064590  100000  \n",
       "  2005-02-23        1.061762  100000  \n",
       "  ...                    ...     ...  \n",
       "  2016-10-21        3.368400  100000  \n",
       "  2016-10-24        3.408638  100000  \n",
       "  2016-10-25        3.408507  100000  \n",
       "  2016-10-26        3.395730  100000  \n",
       "  2016-10-27        3.386539  100000  \n",
       "  2016-10-28        3.380913  100000  \n",
       "  2016-10-31        3.377025  100000  \n",
       "  2016-11-01        3.400023  100000  \n",
       "  2016-11-02        3.374066  100000  \n",
       "  2016-11-03        3.406113  100000  \n",
       "  2016-11-04        3.395094  100000  \n",
       "  2016-11-07        3.397538  100000  \n",
       "  2016-11-08        3.412213  100000  \n",
       "  2016-11-09        3.393963  100000  \n",
       "  2016-11-10        3.431898  100000  \n",
       "  2016-11-11        3.458774  100000  \n",
       "  2016-11-14        3.471935  100000  \n",
       "  2016-11-15        3.471551  100000  \n",
       "  2016-11-16        3.471268  100000  \n",
       "  2016-11-17        3.478287  100000  \n",
       "  2016-11-18        3.459017  100000  \n",
       "  2016-11-21        3.482903  100000  \n",
       "  2016-11-22        3.510426  100000  \n",
       "  2016-11-23        3.516859  100000  \n",
       "  2016-11-24        3.531010  100000  \n",
       "  2016-11-25        3.563895  100000  \n",
       "  2016-11-28        3.577813  100000  \n",
       "  2016-11-29        3.607063  100000  \n",
       "  2016-11-30        3.580762  100000  \n",
       "  2016-12-01        3.608073  100000  \n",
       "  \n",
       "  [2894 rows x 6 columns],\n",
       "  'portfolio':                    cash  market_value  static_unit_net_value  total_value  \\\n",
       "  date                                                                        \n",
       "  2005-01-04   100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-05   100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-06   100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-07   100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-10   100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-11   100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-12   100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-13   100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-14   100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-17   100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-18   100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-19   100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-20   100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-21   100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-24   100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-25   100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-26   100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-27   100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-28   100000.000           0.0                  1.000   100000.000   \n",
       "  2005-01-31   100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-01   100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-02   100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-03   100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-04   100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-16   100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-17   100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-18   100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-21   100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-22   100000.000           0.0                  1.000   100000.000   \n",
       "  2005-02-23   100000.000           0.0                  1.000   100000.000   \n",
       "  ...                 ...           ...                    ...          ...   \n",
       "  2016-10-21  1504880.274           0.0                 15.049  1504880.274   \n",
       "  2016-10-24  1504880.274           0.0                 15.049  1504880.274   \n",
       "  2016-10-25  1504880.274           0.0                 15.049  1504880.274   \n",
       "  2016-10-26  1504880.274           0.0                 15.049  1504880.274   \n",
       "  2016-10-27  1504880.274           0.0                 15.049  1504880.274   \n",
       "  2016-10-28  1504880.274           0.0                 15.049  1504880.274   \n",
       "  2016-10-31  1504880.274           0.0                 15.049  1504880.274   \n",
       "  2016-11-01  1504880.274           0.0                 15.049  1504880.274   \n",
       "  2016-11-02  1504880.274           0.0                 15.049  1504880.274   \n",
       "  2016-11-03  1504880.274           0.0                 15.049  1504880.274   \n",
       "  2016-11-04  1504880.274           0.0                 15.049  1504880.274   \n",
       "  2016-11-07  1504880.274           0.0                 15.049  1504880.274   \n",
       "  2016-11-08  1504880.274           0.0                 15.049  1504880.274   \n",
       "  2016-11-09  1504880.274           0.0                 15.049  1504880.274   \n",
       "  2016-11-10  1504880.274           0.0                 15.049  1504880.274   \n",
       "  2016-11-11  1504880.274           0.0                 15.049  1504880.274   \n",
       "  2016-11-14  1504880.274           0.0                 15.049  1504880.274   \n",
       "  2016-11-15  1504880.274           0.0                 15.049  1504880.274   \n",
       "  2016-11-16  1504880.274           0.0                 15.049  1504880.274   \n",
       "  2016-11-17  1504880.274           0.0                 15.049  1504880.274   \n",
       "  2016-11-18  1504880.274           0.0                 15.049  1504880.274   \n",
       "  2016-11-21  1504880.274           0.0                 15.049  1504880.274   \n",
       "  2016-11-22  1504880.274           0.0                 15.049  1504880.274   \n",
       "  2016-11-23  1504880.274           0.0                 15.049  1504880.274   \n",
       "  2016-11-24  1504880.274           0.0                 15.049  1504880.274   \n",
       "  2016-11-25  1504880.274           0.0                 15.049  1504880.274   \n",
       "  2016-11-28  1504880.274           0.0                 15.049  1504880.274   \n",
       "  2016-11-29  1504880.274           0.0                 15.049  1504880.274   \n",
       "  2016-11-30  1504880.274           0.0                 15.049  1504880.274   \n",
       "  2016-12-01  1504880.274           0.0                 15.049  1504880.274   \n",
       "  \n",
       "              unit_net_value   units  \n",
       "  date                                \n",
       "  2005-01-04        1.000000  100000  \n",
       "  2005-01-05        1.000000  100000  \n",
       "  2005-01-06        1.000000  100000  \n",
       "  2005-01-07        1.000000  100000  \n",
       "  2005-01-10        1.000000  100000  \n",
       "  2005-01-11        1.000000  100000  \n",
       "  2005-01-12        1.000000  100000  \n",
       "  2005-01-13        1.000000  100000  \n",
       "  2005-01-14        1.000000  100000  \n",
       "  2005-01-17        1.000000  100000  \n",
       "  2005-01-18        1.000000  100000  \n",
       "  2005-01-19        1.000000  100000  \n",
       "  2005-01-20        1.000000  100000  \n",
       "  2005-01-21        1.000000  100000  \n",
       "  2005-01-24        1.000000  100000  \n",
       "  2005-01-25        1.000000  100000  \n",
       "  2005-01-26        1.000000  100000  \n",
       "  2005-01-27        1.000000  100000  \n",
       "  2005-01-28        1.000000  100000  \n",
       "  2005-01-31        1.000000  100000  \n",
       "  2005-02-01        1.000000  100000  \n",
       "  2005-02-02        1.000000  100000  \n",
       "  2005-02-03        1.000000  100000  \n",
       "  2005-02-04        1.000000  100000  \n",
       "  2005-02-16        1.000000  100000  \n",
       "  2005-02-17        1.000000  100000  \n",
       "  2005-02-18        1.000000  100000  \n",
       "  2005-02-21        1.000000  100000  \n",
       "  2005-02-22        1.000000  100000  \n",
       "  2005-02-23        1.000000  100000  \n",
       "  ...                    ...     ...  \n",
       "  2016-10-21       15.048803  100000  \n",
       "  2016-10-24       15.048803  100000  \n",
       "  2016-10-25       15.048803  100000  \n",
       "  2016-10-26       15.048803  100000  \n",
       "  2016-10-27       15.048803  100000  \n",
       "  2016-10-28       15.048803  100000  \n",
       "  2016-10-31       15.048803  100000  \n",
       "  2016-11-01       15.048803  100000  \n",
       "  2016-11-02       15.048803  100000  \n",
       "  2016-11-03       15.048803  100000  \n",
       "  2016-11-04       15.048803  100000  \n",
       "  2016-11-07       15.048803  100000  \n",
       "  2016-11-08       15.048803  100000  \n",
       "  2016-11-09       15.048803  100000  \n",
       "  2016-11-10       15.048803  100000  \n",
       "  2016-11-11       15.048803  100000  \n",
       "  2016-11-14       15.048803  100000  \n",
       "  2016-11-15       15.048803  100000  \n",
       "  2016-11-16       15.048803  100000  \n",
       "  2016-11-17       15.048803  100000  \n",
       "  2016-11-18       15.048803  100000  \n",
       "  2016-11-21       15.048803  100000  \n",
       "  2016-11-22       15.048803  100000  \n",
       "  2016-11-23       15.048803  100000  \n",
       "  2016-11-24       15.048803  100000  \n",
       "  2016-11-25       15.048803  100000  \n",
       "  2016-11-28       15.048803  100000  \n",
       "  2016-11-29       15.048803  100000  \n",
       "  2016-11-30       15.048803  100000  \n",
       "  2016-12-01       15.048803  100000  \n",
       "  \n",
       "  [2894 rows x 6 columns],\n",
       "  'stock_account':                    cash  dividend_receivable  market_value  total_value  \\\n",
       "  date                                                                      \n",
       "  2005-01-04   100000.000                    0           0.0   100000.000   \n",
       "  2005-01-05   100000.000                    0           0.0   100000.000   \n",
       "  2005-01-06   100000.000                    0           0.0   100000.000   \n",
       "  2005-01-07   100000.000                    0           0.0   100000.000   \n",
       "  2005-01-10   100000.000                    0           0.0   100000.000   \n",
       "  2005-01-11   100000.000                    0           0.0   100000.000   \n",
       "  2005-01-12   100000.000                    0           0.0   100000.000   \n",
       "  2005-01-13   100000.000                    0           0.0   100000.000   \n",
       "  2005-01-14   100000.000                    0           0.0   100000.000   \n",
       "  2005-01-17   100000.000                    0           0.0   100000.000   \n",
       "  2005-01-18   100000.000                    0           0.0   100000.000   \n",
       "  2005-01-19   100000.000                    0           0.0   100000.000   \n",
       "  2005-01-20   100000.000                    0           0.0   100000.000   \n",
       "  2005-01-21   100000.000                    0           0.0   100000.000   \n",
       "  2005-01-24   100000.000                    0           0.0   100000.000   \n",
       "  2005-01-25   100000.000                    0           0.0   100000.000   \n",
       "  2005-01-26   100000.000                    0           0.0   100000.000   \n",
       "  2005-01-27   100000.000                    0           0.0   100000.000   \n",
       "  2005-01-28   100000.000                    0           0.0   100000.000   \n",
       "  2005-01-31   100000.000                    0           0.0   100000.000   \n",
       "  2005-02-01   100000.000                    0           0.0   100000.000   \n",
       "  2005-02-02   100000.000                    0           0.0   100000.000   \n",
       "  2005-02-03   100000.000                    0           0.0   100000.000   \n",
       "  2005-02-04   100000.000                    0           0.0   100000.000   \n",
       "  2005-02-16   100000.000                    0           0.0   100000.000   \n",
       "  2005-02-17   100000.000                    0           0.0   100000.000   \n",
       "  2005-02-18   100000.000                    0           0.0   100000.000   \n",
       "  2005-02-21   100000.000                    0           0.0   100000.000   \n",
       "  2005-02-22   100000.000                    0           0.0   100000.000   \n",
       "  2005-02-23   100000.000                    0           0.0   100000.000   \n",
       "  ...                 ...                  ...           ...          ...   \n",
       "  2016-10-21  1504880.274                    0           0.0  1504880.274   \n",
       "  2016-10-24  1504880.274                    0           0.0  1504880.274   \n",
       "  2016-10-25  1504880.274                    0           0.0  1504880.274   \n",
       "  2016-10-26  1504880.274                    0           0.0  1504880.274   \n",
       "  2016-10-27  1504880.274                    0           0.0  1504880.274   \n",
       "  2016-10-28  1504880.274                    0           0.0  1504880.274   \n",
       "  2016-10-31  1504880.274                    0           0.0  1504880.274   \n",
       "  2016-11-01  1504880.274                    0           0.0  1504880.274   \n",
       "  2016-11-02  1504880.274                    0           0.0  1504880.274   \n",
       "  2016-11-03  1504880.274                    0           0.0  1504880.274   \n",
       "  2016-11-04  1504880.274                    0           0.0  1504880.274   \n",
       "  2016-11-07  1504880.274                    0           0.0  1504880.274   \n",
       "  2016-11-08  1504880.274                    0           0.0  1504880.274   \n",
       "  2016-11-09  1504880.274                    0           0.0  1504880.274   \n",
       "  2016-11-10  1504880.274                    0           0.0  1504880.274   \n",
       "  2016-11-11  1504880.274                    0           0.0  1504880.274   \n",
       "  2016-11-14  1504880.274                    0           0.0  1504880.274   \n",
       "  2016-11-15  1504880.274                    0           0.0  1504880.274   \n",
       "  2016-11-16  1504880.274                    0           0.0  1504880.274   \n",
       "  2016-11-17  1504880.274                    0           0.0  1504880.274   \n",
       "  2016-11-18  1504880.274                    0           0.0  1504880.274   \n",
       "  2016-11-21  1504880.274                    0           0.0  1504880.274   \n",
       "  2016-11-22  1504880.274                    0           0.0  1504880.274   \n",
       "  2016-11-23  1504880.274                    0           0.0  1504880.274   \n",
       "  2016-11-24  1504880.274                    0           0.0  1504880.274   \n",
       "  2016-11-25  1504880.274                    0           0.0  1504880.274   \n",
       "  2016-11-28  1504880.274                    0           0.0  1504880.274   \n",
       "  2016-11-29  1504880.274                    0           0.0  1504880.274   \n",
       "  2016-11-30  1504880.274                    0           0.0  1504880.274   \n",
       "  2016-12-01  1504880.274                    0           0.0  1504880.274   \n",
       "  \n",
       "              transaction_cost  \n",
       "  date                          \n",
       "  2005-01-04               0.0  \n",
       "  2005-01-05               0.0  \n",
       "  2005-01-06               0.0  \n",
       "  2005-01-07               0.0  \n",
       "  2005-01-10               0.0  \n",
       "  2005-01-11               0.0  \n",
       "  2005-01-12               0.0  \n",
       "  2005-01-13               0.0  \n",
       "  2005-01-14               0.0  \n",
       "  2005-01-17               0.0  \n",
       "  2005-01-18               0.0  \n",
       "  2005-01-19               0.0  \n",
       "  2005-01-20               0.0  \n",
       "  2005-01-21               0.0  \n",
       "  2005-01-24               0.0  \n",
       "  2005-01-25               0.0  \n",
       "  2005-01-26               0.0  \n",
       "  2005-01-27               0.0  \n",
       "  2005-01-28               0.0  \n",
       "  2005-01-31               0.0  \n",
       "  2005-02-01               0.0  \n",
       "  2005-02-02               0.0  \n",
       "  2005-02-03               0.0  \n",
       "  2005-02-04               0.0  \n",
       "  2005-02-16               0.0  \n",
       "  2005-02-17               0.0  \n",
       "  2005-02-18               0.0  \n",
       "  2005-02-21               0.0  \n",
       "  2005-02-22               0.0  \n",
       "  2005-02-23               0.0  \n",
       "  ...                      ...  \n",
       "  2016-10-21               0.0  \n",
       "  2016-10-24               0.0  \n",
       "  2016-10-25               0.0  \n",
       "  2016-10-26               0.0  \n",
       "  2016-10-27               0.0  \n",
       "  2016-10-28               0.0  \n",
       "  2016-10-31               0.0  \n",
       "  2016-11-01               0.0  \n",
       "  2016-11-02               0.0  \n",
       "  2016-11-03               0.0  \n",
       "  2016-11-04               0.0  \n",
       "  2016-11-07               0.0  \n",
       "  2016-11-08               0.0  \n",
       "  2016-11-09               0.0  \n",
       "  2016-11-10               0.0  \n",
       "  2016-11-11               0.0  \n",
       "  2016-11-14               0.0  \n",
       "  2016-11-15               0.0  \n",
       "  2016-11-16               0.0  \n",
       "  2016-11-17               0.0  \n",
       "  2016-11-18               0.0  \n",
       "  2016-11-21               0.0  \n",
       "  2016-11-22               0.0  \n",
       "  2016-11-23               0.0  \n",
       "  2016-11-24               0.0  \n",
       "  2016-11-25               0.0  \n",
       "  2016-11-28               0.0  \n",
       "  2016-11-29               0.0  \n",
       "  2016-11-30               0.0  \n",
       "  2016-12-01               0.0  \n",
       "  \n",
       "  [2894 rows x 5 columns],\n",
       "  'stock_positions':             avg_price  last_price  market_value order_book_id  quantity symbol\n",
       "  date                                                                          \n",
       "  2005-08-31      6.230        6.23       99680.0   000001.XSHE   16000.0   平安银行\n",
       "  2005-09-01      6.230        6.29      100640.0   000001.XSHE   16000.0   平安银行\n",
       "  2005-09-02      6.230        6.26      100160.0   000001.XSHE   16000.0   平安银行\n",
       "  2005-09-05      6.230        6.31      100960.0   000001.XSHE   16000.0   平安银行\n",
       "  2005-09-06      6.230        6.15       98400.0   000001.XSHE   16000.0   平安银行\n",
       "  2005-09-07      6.230        6.21       99360.0   000001.XSHE   16000.0   平安银行\n",
       "  2005-09-08      6.230        6.32      101120.0   000001.XSHE   16000.0   平安银行\n",
       "  2005-09-09      6.230        6.25      100000.0   000001.XSHE   16000.0   平安银行\n",
       "  2005-09-12      6.230        6.24       99840.0   000001.XSHE   16000.0   平安银行\n",
       "  2005-09-13      6.230        6.33      101280.0   000001.XSHE   16000.0   平安银行\n",
       "  2005-09-14      6.230        6.38      102080.0   000001.XSHE   16000.0   平安银行\n",
       "  2005-09-15      6.230        6.28      100480.0   000001.XSHE   16000.0   平安银行\n",
       "  2005-09-16      6.230        6.30      100800.0   000001.XSHE   16000.0   平安银行\n",
       "  2005-09-19      6.230        6.28      100480.0   000001.XSHE   16000.0   平安银行\n",
       "  2005-09-20      6.230        6.14       98240.0   000001.XSHE   16000.0   平安银行\n",
       "  2005-09-21      6.230        6.03           0.0   000001.XSHE       0.0   平安银行\n",
       "  2006-01-24      6.260        6.26       96404.0   000001.XSHE   15400.0   平安银行\n",
       "  2006-01-25      6.260        6.35       97790.0   000001.XSHE   15400.0   平安银行\n",
       "  2006-02-06      6.260        6.40       98560.0   000001.XSHE   15400.0   平安银行\n",
       "  2006-02-07      6.260        6.30       97020.0   000001.XSHE   15400.0   平安银行\n",
       "  2006-02-08      6.260        6.30       97020.0   000001.XSHE   15400.0   平安银行\n",
       "  2006-02-09      6.260        6.19       95326.0   000001.XSHE   15400.0   平安银行\n",
       "  2006-02-10      6.260        6.21       95634.0   000001.XSHE   15400.0   平安银行\n",
       "  2006-02-13      6.260        6.21       95634.0   000001.XSHE   15400.0   平安银行\n",
       "  2006-02-14      6.260        6.23       95942.0   000001.XSHE   15400.0   平安银行\n",
       "  2006-02-15      6.260        6.32       97328.0   000001.XSHE   15400.0   平安银行\n",
       "  2006-02-16      6.260        6.17       95018.0   000001.XSHE   15400.0   平安银行\n",
       "  2006-02-17      6.260        6.24       96096.0   000001.XSHE   15400.0   平安银行\n",
       "  2006-02-20      6.260        6.29       96866.0   000001.XSHE   15400.0   平安银行\n",
       "  2006-02-21      6.260        6.79      104566.0   000001.XSHE   15400.0   平安银行\n",
       "  ...               ...         ...           ...           ...       ...    ...\n",
       "  2015-05-26      8.372       16.62     1687262.4   000001.XSHE  101520.0   平安银行\n",
       "  2015-05-27      8.372       16.48     1673049.6   000001.XSHE  101520.0   平安银行\n",
       "  2015-05-28      8.372       15.50     1573560.0   000001.XSHE  101520.0   平安银行\n",
       "  2015-05-29      8.372       15.32     1555286.4   000001.XSHE  101520.0   平安银行\n",
       "  2015-06-01      8.372       15.90           0.0   000001.XSHE       0.0   平安银行\n",
       "  2015-12-22     12.430       12.43     1624601.0   000001.XSHE  130700.0   平安银行\n",
       "  2015-12-23     12.430       12.48     1631136.0   000001.XSHE  130700.0   平安银行\n",
       "  2015-12-24     12.430       12.34     1612838.0   000001.XSHE  130700.0   平安银行\n",
       "  2015-12-25     12.430       12.41     1621987.0   000001.XSHE  130700.0   平安银行\n",
       "  2015-12-28     12.430       11.98           0.0   000001.XSHE       0.0   平安银行\n",
       "  2016-04-11     10.720       10.72     1561904.0   000001.XSHE  145700.0   平安银行\n",
       "  2016-04-12     10.720       10.67     1554619.0   000001.XSHE  145700.0   平安银行\n",
       "  2016-04-13     10.720       10.81     1575017.0   000001.XSHE  145700.0   平安银行\n",
       "  2016-04-14     10.720       10.84     1579388.0   000001.XSHE  145700.0   平安银行\n",
       "  2016-04-15     10.720       10.88     1585216.0   000001.XSHE  145700.0   平安银行\n",
       "  2016-04-18     10.720       10.73     1563361.0   000001.XSHE  145700.0   平安银行\n",
       "  2016-04-19     10.720       10.77     1569189.0   000001.XSHE  145700.0   平安银行\n",
       "  2016-04-20     10.720       10.52     1532764.0   000001.XSHE  145700.0   平安银行\n",
       "  2016-04-21     10.720       10.51     1531307.0   000001.XSHE  145700.0   平安银行\n",
       "  2016-04-22     10.720       10.55     1537135.0   000001.XSHE  145700.0   平安银行\n",
       "  2016-04-25     10.720       10.50     1529850.0   000001.XSHE  145700.0   平安银行\n",
       "  2016-04-26     10.720       10.59     1542963.0   000001.XSHE  145700.0   平安银行\n",
       "  2016-04-27     10.720       10.57     1540049.0   000001.XSHE  145700.0   平安银行\n",
       "  2016-04-28     10.720       10.66     1553162.0   000001.XSHE  145700.0   平安银行\n",
       "  2016-04-29     10.720       10.57     1540049.0   000001.XSHE  145700.0   平安银行\n",
       "  2016-05-03     10.720       10.68     1556076.0   000001.XSHE  145700.0   平安银行\n",
       "  2016-05-04     10.720       10.72     1561904.0   000001.XSHE  145700.0   平安银行\n",
       "  2016-05-05     10.720       10.72     1561904.0   000001.XSHE  145700.0   平安银行\n",
       "  2016-05-06     10.720       10.52     1532764.0   000001.XSHE  145700.0   平安银行\n",
       "  2016-05-09     10.720       10.35           0.0   000001.XSHE       0.0   平安银行\n",
       "  \n",
       "  [1057 rows x 6 columns],\n",
       "  'summary': {'alpha': 0.179,\n",
       "   'annualized_returns': 0.255,\n",
       "   'benchmark': '000300.XSHG',\n",
       "   'benchmark_annualized_returns': 0.114,\n",
       "   'benchmark_total_returns': 2.608,\n",
       "   'beta': 0.31,\n",
       "   'cash': 1504880.274,\n",
       "   'downside_risk': 0.202,\n",
       "   'end_date': '2016-12-01',\n",
       "   'future_starting_cash': 0,\n",
       "   'information_ratio': 0.358,\n",
       "   'max_drawdown': 0.278,\n",
       "   'run_type': 'BACKTEST',\n",
       "   'sharpe': 0.812,\n",
       "   'sortino': 1.034,\n",
       "   'start_date': '2005-01-04',\n",
       "   'stock_starting_cash': 100000,\n",
       "   'strategy_file': 'strategy.py',\n",
       "   'strategy_name': 'strategy',\n",
       "   'total_returns': 14.049,\n",
       "   'total_value': 1504880.274,\n",
       "   'tracking_error': 0.313,\n",
       "   'unit_net_value': 15.049,\n",
       "   'units': 100000,\n",
       "   'volatility': 0.258},\n",
       "  'trades':                      commission     exec_id  last_price  last_quantity  \\\n",
       "  datetime                                                                 \n",
       "  2005-08-31 15:00:00     79.7440  1496465868        6.23        16000.0   \n",
       "  2005-09-21 15:00:00     77.1840  1496465869        6.03        16000.0   \n",
       "  2006-01-24 15:00:00     77.1232  1496465870        6.26        15400.0   \n",
       "  2007-04-26 15:00:00    319.7040  1496465871       25.95        15400.0   \n",
       "  2007-09-28 15:00:00    316.6416  1496465872       39.98         9900.0   \n",
       "  2007-11-16 15:00:00    305.7120  1496465873       38.60         9900.0   \n",
       "  2008-01-15 15:00:00    305.9784  1496465874       42.03         9100.0   \n",
       "  2008-01-16 15:00:00    289.7440  1496465875       39.80         9100.0   \n",
       "  2009-01-19 15:00:00    289.7488  1496465876       11.11        32600.0   \n",
       "  2009-08-14 15:00:00    592.0160  1496465877       22.70        32600.0   \n",
       "  2011-03-28 15:00:00    590.4928  1496465878       16.33        45200.0   \n",
       "  2011-07-28 15:00:00    609.2960  1496465879       16.85        45200.0   \n",
       "  2011-11-09 15:00:00    608.4848  1496465880       16.94        44900.0   \n",
       "  2011-11-16 15:00:00    575.7976  1496465881       16.03        44900.0   \n",
       "  2012-05-02 15:00:00    573.2048  1496465882       16.78        42700.0   \n",
       "  2012-05-09 15:00:00    552.0256  1496465883       16.16        42700.0   \n",
       "  2012-12-12 15:00:00    551.3728  1496465884       14.24        48400.0   \n",
       "  2013-06-13 15:00:00    727.5488  1496465885       18.79        48400.0   \n",
       "  2013-09-03 15:00:00    725.7600  1496465886       11.20        81000.0   \n",
       "  2014-03-05 15:00:00    693.3600  1496465887       10.70        81000.0   \n",
       "  2014-07-25 15:00:00    691.6896  1496465888       10.22        84600.0   \n",
       "  2015-06-01 15:00:00   1291.3344  1496465889       15.90       101520.0   \n",
       "  2015-12-22 15:00:00   1299.6808  1496465890       12.43       130700.0   \n",
       "  2015-12-28 15:00:00   1252.6288  1496465891       11.98       130700.0   \n",
       "  2016-04-11 15:00:00   1249.5232  1496465892       10.72       145700.0   \n",
       "  2016-05-09 15:00:00   1206.3960  1496465893       10.35       145700.0   \n",
       "  \n",
       "                      order_book_id    order_id position_effect  side symbol  \\\n",
       "  datetime                                                                     \n",
       "  2005-08-31 15:00:00   000001.XSHE  1496465871            None   BUY   平安银行   \n",
       "  2005-09-21 15:00:00   000001.XSHE  1496465872            None  SELL   平安银行   \n",
       "  2006-01-24 15:00:00   000001.XSHE  1496465873            None   BUY   平安银行   \n",
       "  2007-04-26 15:00:00   000001.XSHE  1496465874            None  SELL   平安银行   \n",
       "  2007-09-28 15:00:00   000001.XSHE  1496465875            None   BUY   平安银行   \n",
       "  2007-11-16 15:00:00   000001.XSHE  1496465876            None  SELL   平安银行   \n",
       "  2008-01-15 15:00:00   000001.XSHE  1496465877            None   BUY   平安银行   \n",
       "  2008-01-16 15:00:00   000001.XSHE  1496465878            None  SELL   平安银行   \n",
       "  2009-01-19 15:00:00   000001.XSHE  1496465879            None   BUY   平安银行   \n",
       "  2009-08-14 15:00:00   000001.XSHE  1496465880            None  SELL   平安银行   \n",
       "  2011-03-28 15:00:00   000001.XSHE  1496465881            None   BUY   平安银行   \n",
       "  2011-07-28 15:00:00   000001.XSHE  1496465882            None  SELL   平安银行   \n",
       "  2011-11-09 15:00:00   000001.XSHE  1496465883            None   BUY   平安银行   \n",
       "  2011-11-16 15:00:00   000001.XSHE  1496465884            None  SELL   平安银行   \n",
       "  2012-05-02 15:00:00   000001.XSHE  1496465885            None   BUY   平安银行   \n",
       "  2012-05-09 15:00:00   000001.XSHE  1496465886            None  SELL   平安银行   \n",
       "  2012-12-12 15:00:00   000001.XSHE  1496465887            None   BUY   平安银行   \n",
       "  2013-06-13 15:00:00   000001.XSHE  1496465888            None  SELL   平安银行   \n",
       "  2013-09-03 15:00:00   000001.XSHE  1496465889            None   BUY   平安银行   \n",
       "  2014-03-05 15:00:00   000001.XSHE  1496465890            None  SELL   平安银行   \n",
       "  2014-07-25 15:00:00   000001.XSHE  1496465891            None   BUY   平安银行   \n",
       "  2015-06-01 15:00:00   000001.XSHE  1496465892            None  SELL   平安银行   \n",
       "  2015-12-22 15:00:00   000001.XSHE  1496465893            None   BUY   平安银行   \n",
       "  2015-12-28 15:00:00   000001.XSHE  1496465894            None  SELL   平安银行   \n",
       "  2016-04-11 15:00:00   000001.XSHE  1496465895            None   BUY   平安银行   \n",
       "  2016-05-09 15:00:00   000001.XSHE  1496465896            None  SELL   平安银行   \n",
       "  \n",
       "                            tax     trading_datetime  transaction_cost  \n",
       "  datetime                                                              \n",
       "  2005-08-31 15:00:00     0.000  2005-08-31 15:00:00           79.7440  \n",
       "  2005-09-21 15:00:00    96.480  2005-09-21 15:00:00          173.6640  \n",
       "  2006-01-24 15:00:00     0.000  2006-01-24 15:00:00           77.1232  \n",
       "  2007-04-26 15:00:00   399.630  2007-04-26 15:00:00          719.3340  \n",
       "  2007-09-28 15:00:00     0.000  2007-09-28 15:00:00          316.6416  \n",
       "  2007-11-16 15:00:00   382.140  2007-11-16 15:00:00          687.8520  \n",
       "  2008-01-15 15:00:00     0.000  2008-01-15 15:00:00          305.9784  \n",
       "  2008-01-16 15:00:00   362.180  2008-01-16 15:00:00          651.9240  \n",
       "  2009-01-19 15:00:00     0.000  2009-01-19 15:00:00          289.7488  \n",
       "  2009-08-14 15:00:00   740.020  2009-08-14 15:00:00         1332.0360  \n",
       "  2011-03-28 15:00:00     0.000  2011-03-28 15:00:00          590.4928  \n",
       "  2011-07-28 15:00:00   761.620  2011-07-28 15:00:00         1370.9160  \n",
       "  2011-11-09 15:00:00     0.000  2011-11-09 15:00:00          608.4848  \n",
       "  2011-11-16 15:00:00   719.747  2011-11-16 15:00:00         1295.5446  \n",
       "  2012-05-02 15:00:00     0.000  2012-05-02 15:00:00          573.2048  \n",
       "  2012-05-09 15:00:00   690.032  2012-05-09 15:00:00         1242.0576  \n",
       "  2012-12-12 15:00:00     0.000  2012-12-12 15:00:00          551.3728  \n",
       "  2013-06-13 15:00:00   909.436  2013-06-13 15:00:00         1636.9848  \n",
       "  2013-09-03 15:00:00     0.000  2013-09-03 15:00:00          725.7600  \n",
       "  2014-03-05 15:00:00   866.700  2014-03-05 15:00:00         1560.0600  \n",
       "  2014-07-25 15:00:00     0.000  2014-07-25 15:00:00          691.6896  \n",
       "  2015-06-01 15:00:00  1614.168  2015-06-01 15:00:00         2905.5024  \n",
       "  2015-12-22 15:00:00     0.000  2015-12-22 15:00:00         1299.6808  \n",
       "  2015-12-28 15:00:00  1565.786  2015-12-28 15:00:00         2818.4148  \n",
       "  2016-04-11 15:00:00     0.000  2016-04-11 15:00:00         1249.5232  \n",
       "  2016-05-09 15:00:00  1507.995  2016-05-09 15:00:00         2714.3910  }}"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#coding=utf-8\n",
    "# run_code_demo\n",
    "from rqalpha import run_code\n",
    "\n",
    "code = \"\"\"\n",
    "import numpy as np\n",
    "import talib as ta\n",
    "import pandas as pd\n",
    "import os\n",
    "import rqalpha\n",
    "from rqalpha.api import *\n",
    "\n",
    "def calculate(close, period):\n",
    "    mas = ta.MA(close, period)\n",
    "    mal = ta.MA(close, 5*period)\n",
    "    if mas[-1] > mal[-1]:\n",
    "        return 1\n",
    "    else:\n",
    "        return 0\n",
    "\n",
    "def init(context):\n",
    "    context.s1 = \"000001.XSHE\"\n",
    "    context.PERIOD = 80\n",
    "    context.MA_Statidtic = []\n",
    "    context.stoplossmultipler= 0.97 #止损 乘数\n",
    "    context.takepofitmultipler= 4 #止盈 乘数\n",
    "\n",
    "def statistic(close):\n",
    "    count = 0\n",
    "    for i in range(1, 21):\n",
    "        count += calculate(close[-i*5:], i)\n",
    "    return count*5\n",
    "\n",
    "def handle_bar(context, bar_dict):\n",
    "    stop_loss(context, bar_dict)\n",
    "    entry_exit(context, bar_dict)\n",
    "\n",
    "\n",
    "def entry_exit(context, bar_dict):\n",
    "    close = history_bars(context.s1, context.PERIOD+1, '1d', 'close')\n",
    "    if len(close) == context.PERIOD+1:\n",
    "        MA_Statistic1 = statistic(close[:-1])\n",
    "        MA_Statistic0 = statistic(close[1:])\n",
    "        cur_position = context.portfolio.positions[context.s1].quantity\n",
    "        shares = context.portfolio.cash/bar_dict[context.s1].close\n",
    "        if MA_Statistic1>50 and MA_Statistic0<50 and cur_position>0:\n",
    "            order_target_value(context.s1, 0)\n",
    "        if MA_Statistic1<65 and MA_Statistic0>65 and cur_position==0:\n",
    "            order_shares(context.s1, shares)\n",
    "\n",
    "def stop_loss(context,bar_dict):\n",
    "    for stock in context.portfolio.positions:\n",
    "        if bar_dict[stock].last<context.portfolio.positions[stock].avg_price*context.stoplossmultipler:# 现价低于 原价一定比例\n",
    "            order_target_percent(stock,0)\n",
    "        elif bar_dict[stock].last>context.portfolio.positions[stock].avg_price*context.takepofitmultipler:# 现价高于原价一定比例\n",
    "            order_target_percent(stock,0)\n",
    "\n",
    "\"\"\"\n",
    "\n",
    "config = {\n",
    "  \"base\": {\n",
    "    \"start_date\": \"2000-06-01\",\n",
    "    \"end_date\": \"2016-12-01\",\n",
    "    \"securities\": ['stock'],\n",
    "    \"stock_starting_cash\": 100000,\n",
    "    \"benchmark\": \"000300.XSHG\"\n",
    "#     \"strategy_file_path\": os.path.abspath(__file__)\n",
    "  },\n",
    "  \"extra\": {\n",
    "    \"log_level\": \"verbose\",\n",
    "  },\n",
    "  \"mod\": {\n",
    "    \"sys_analyser\": {\n",
    "      \"enabled\": True,\n",
    "      \"plot\": True\n",
    "    }\n",
    "  }\n",
    "}\n",
    "\n",
    "# 您可以指定您要传递的参数\n",
    "run_code(code, config)"
   ]
  }
 ],
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